Using semantic segmentation

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So in image semantic segmentation, our goal is not only to identify the presence of given objects, but also to identify their positions, dimensions, and shape . This requires work at pixel leve..."><meta property="og:site_name" content="Kili Docs"><meta name="twitter:title" content="Using semantic segmentation"><meta name="twitter:description" content="The task of image semantic segmentation consists of detecting specific regions of objects within an image. So in image semantic segmentation, our goal is not only to identify the presence of given objects, but also to identify their positions, dimensions, and shape . 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class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Introduction to Kili Technology</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/definitions"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Definitions</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/architecture"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Kili architecture</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/kili-environment"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">System and network requirements</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/hosting"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Hosting</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/kili-security-measures"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Kili security measures</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/getting-started-with-kili"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Getting started with Kili</span></span></a></li></ul></section><section class="Sidebar-listWrapper6Q9_yUrG906C rm-Sidebar-section"><h2 class="Sidebar-headingTRQyOa2pk0gh rm-Sidebar-heading">Handling projects</h2><ul class="Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/projects"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Projects overview</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 Sidebar-link_parent3OBrzjAJRSfq text-wrap rm-Sidebar-link" target="_self" href="/docs/project-interface"><span class="Sidebar-link-textLuTE1ySm4Kqn"><button aria-expanded="false" aria-label="Show subpages for Project UI" class="Sidebar-link-buttonWrapper3hnFHNku8_BJ"><i class="Sidebar-link-expandIcon2yVH6SarI6NW icon-chevron-rightward"></i></button><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Project UI</span></span></a><ul class="subpages Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" data-active="" href="https://docs.kili-technology.com/docs/organizing-projects#project-list"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Projects list</span></span><i aria-hidden="true" class="Sidebar-link-externalIcon1RcnjKm-3Ft8 icon-arrow-up-right"></i></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/queue-page"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Asset queue page</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/explore-view"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Explore 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text-wrap rm-Sidebar-link" target="_self" href="/docs/creating-an-azure-blob-storage-integration"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Creating an Azure Blob Storage integration</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/creating-an-amazon-web-storage-integration"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Creating an AWS S3 integration</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/creating-an-s3-compatible-integration"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Creating an S3-Compatible integration</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/creating-a-gcp-cloud-storage-integration"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Creating a GCP Cloud Storage integration</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/filtering-assets-from-cloud-storage"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Filtering assets from cloud storage</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/restricting-an-integration-to-specific-projects"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Restricting an integration to specific projects</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/deleting-assets"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Deleting assets</span></span></a></li></ul></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/managing-project-members"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Managing project members</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 Sidebar-link_parent3OBrzjAJRSfq text-wrap rm-Sidebar-link" target="_self" href="/docs/customizing-project-interface"><span class="Sidebar-link-textLuTE1ySm4Kqn"><button aria-expanded="false" aria-label="Show subpages for Customizing project interface" class="Sidebar-link-buttonWrapper3hnFHNku8_BJ"><i class="Sidebar-link-expandIcon2yVH6SarI6NW icon-chevron-rightward"></i></button><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Customizing project interface</span></span></a><ul class="subpages Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/best-practices-for-ontology-design"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Best practices for ontology design</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/customizing-the-interface-in-kili-ui"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Customizing the interface in Kili UI</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/customizing-the-interface-through-json-settings"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Customizing the interface through JSON settings</span></span></a></li></ul></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/organizing-projects"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Organizing projects</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 Sidebar-link_parent3OBrzjAJRSfq text-wrap rm-Sidebar-link" target="_self" href="/docs/exporting-project-data"><span class="Sidebar-link-textLuTE1ySm4Kqn"><button aria-expanded="false" aria-label="Show subpages for Exporting project data" class="Sidebar-link-buttonWrapper3hnFHNku8_BJ"><i class="Sidebar-link-expandIcon2yVH6SarI6NW icon-chevron-rightward"></i></button><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Exporting project data</span></span></a><ul class="subpages Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/data-format"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Kili data format</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/yolo-formats"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">YOLO formats</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/pascal-voc-format"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">PASCAL VOC format</span></span></a></li></ul></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" data-active="" href="https://docs.kili-technology.com/docs/analytics-page"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Accessing project analytics</span></span><i aria-hidden="true" class="Sidebar-link-externalIcon1RcnjKm-3Ft8 icon-arrow-up-right"></i></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/deleting-a-project"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Deleting or archiving a project</span></span></a></li></ul></section><section class="Sidebar-listWrapper6Q9_yUrG906C rm-Sidebar-section"><h2 class="Sidebar-headingTRQyOa2pk0gh rm-Sidebar-heading">Automation</h2><ul class="Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/model-based-pre-annotation"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Model-based pre-annotation</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/importing-labels"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Importing labels</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/active-learning"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Active learning</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/pre-annotation-with-chatgpt"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Pre-annotation with ChatGPT</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" data-active="" href="https://docs.kili-technology.com/docs/semantic-segmentation#interactive-segmentation"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Segmentation with SAM</span></span><i aria-hidden="true" class="Sidebar-link-externalIcon1RcnjKm-3Ft8 icon-arrow-up-right"></i></a></li></ul></section><section class="Sidebar-listWrapper6Q9_yUrG906C rm-Sidebar-section"><h2 class="Sidebar-headingTRQyOa2pk0gh rm-Sidebar-heading">PLUGINS</h2><ul class="Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/kili-plugins"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Kili plugins</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" data-active="" href="https://python-sdk-docs.kili-technology.com/latest/sdk/tutorials/plugins_development/"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">How to develop plugins</span></span><i aria-hidden="true" class="Sidebar-link-externalIcon1RcnjKm-3Ft8 icon-arrow-up-right"></i></a></li></ul></section><section class="Sidebar-listWrapper6Q9_yUrG906C rm-Sidebar-section"><h2 class="Sidebar-headingTRQyOa2pk0gh rm-Sidebar-heading">Quality management</h2><ul class="Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/best-practices-for-quality-workflow"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Best practices for quality workflow</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/adding-instructions"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Adding instructions</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/handling-questions-and-issues"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Handling questions and issues</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/queue-prioritization"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Queue prioritization</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 Sidebar-link_parent3OBrzjAJRSfq text-wrap rm-Sidebar-link" target="_self" href="/docs/reviewing-labeled-assets"><span class="Sidebar-link-textLuTE1ySm4Kqn"><button aria-expanded="false" aria-label="Show subpages for Reviewing labeled assets" class="Sidebar-link-buttonWrapper3hnFHNku8_BJ"><i class="Sidebar-link-expandIcon2yVH6SarI6NW icon-chevron-rightward"></i></button><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Reviewing labeled assets</span></span></a><ul class="subpages Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/review-queue-automation"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Review queue automation</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/filtering-assets-through-custom-search-queries"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Filtering assets through custom search queries</span></span></a></li></ul></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 Sidebar-link_parent3OBrzjAJRSfq text-wrap rm-Sidebar-link" target="_self" href="/docs/consensus-overview"><span class="Sidebar-link-textLuTE1ySm4Kqn"><button aria-expanded="false" aria-label="Show subpages for Consensus overview" class="Sidebar-link-buttonWrapper3hnFHNku8_BJ"><i class="Sidebar-link-expandIcon2yVH6SarI6NW icon-chevron-rightward"></i></button><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Consensus overview</span></span></a><ul class="subpages Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/how-to-use-consensus"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">How to use consensus in your project</span></span></a></li></ul></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 Sidebar-link_parent3OBrzjAJRSfq text-wrap rm-Sidebar-link" target="_self" href="/docs/honeypot-overview"><span class="Sidebar-link-textLuTE1ySm4Kqn"><button aria-expanded="false" aria-label="Show subpages for Honeypot overview" class="Sidebar-link-buttonWrapper3hnFHNku8_BJ"><i class="Sidebar-link-expandIcon2yVH6SarI6NW icon-chevron-rightward"></i></button><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Honeypot overview</span></span></a><ul class="subpages Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/how-to-use-honeypot"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">How to use honeypot in your project</span></span></a></li></ul></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/calculation-rules-for-quality-metrics"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Calculation rules for quality metrics</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" data-active="" href="https://docs.kili-technology.com/docs/kili-plugins#programmatic-qa"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Programmatic QA</span></span><i aria-hidden="true" class="Sidebar-link-externalIcon1RcnjKm-3Ft8 icon-arrow-up-right"></i></a></li></ul></section><section class="Sidebar-listWrapper6Q9_yUrG906C rm-Sidebar-section"><h2 class="Sidebar-headingTRQyOa2pk0gh rm-Sidebar-heading">Users and roles</h2><ul class="Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/users-and-roles"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Users and roles</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/user-roles-in-organization"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">User roles in organization</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/user-roles-in-projects"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">User roles in projects</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/managing-members-of-an-organization"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Managing members of an organization</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" data-active="" href="https://docs.kili-technology.com/docs/managing-project-members"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Managing members in projects</span></span><i aria-hidden="true" class="Sidebar-link-externalIcon1RcnjKm-3Ft8 icon-arrow-up-right"></i></a></li></ul></section><section class="Sidebar-listWrapper6Q9_yUrG906C rm-Sidebar-section"><h2 class="Sidebar-headingTRQyOa2pk0gh rm-Sidebar-heading">Labeling</h2><ul class="Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/labeling-overview"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Labeling overview</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/best-practices-for-labeling"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Best practices for labeling</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/adjusting-your-labeling-environment"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Adjusting your labeling environment</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/monitoring-annotation-complexity"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Monitoring annotation complexity</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/changing-and-updating-labels"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Changing and editing annotations</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/asking-questions"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Asking questions</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 Sidebar-link_parent3OBrzjAJRSfq text-wrap rm-Sidebar-link" target="_self" href="/docs/labeling-jobs"><span class="Sidebar-link-textLuTE1ySm4Kqn"><button aria-expanded="false" aria-label="Show subpages for Labeling jobs" class="Sidebar-link-buttonWrapper3hnFHNku8_BJ"><i class="Sidebar-link-expandIcon2yVH6SarI6NW icon-chevron-rightward"></i></button><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Labeling jobs</span></span></a><ul class="subpages Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/classification-jobs"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Classification jobs</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/objectentity-detection-jobs"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Object/entity detection jobs</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/objectentity-relation-jobs"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Object/entity relation jobs</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/transcription-jobs"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Transcription jobs</span></span></a></li></ul></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 Sidebar-link_parent3OBrzjAJRSfq text-wrap rm-Sidebar-link" target="_self" href="/docs/specific-labeling-tools-and-interfaces"><span class="Sidebar-link-textLuTE1ySm4Kqn"><button aria-expanded="false" aria-label="Show subpages for Specific labeling tools and interfaces" class="Sidebar-link-buttonWrapper3hnFHNku8_BJ"><i class="Sidebar-link-expandIcon2yVH6SarI6NW icon-chevron-rightward"></i></button><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Specific labeling tools and interfaces</span></span></a><ul class="subpages Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/bounding-box-tool"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Using the bounding box tool</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/optical-character-recognition"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Using optical character recognition</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/named-entities-recognition"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Using named entities recognition</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/named-entity-relations"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Using named entitity relations</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/pose-estimation"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Using pose estimation</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a aria-current="page" class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link active" target="_self" href="/docs/semantic-segmentation"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Using semantic segmentation</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/labeling-video-assets"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Labeling video assets</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/geospatialtiled-imagery"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Labeling Geospatial imagery</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless subpage text-wrap rm-Sidebar-link" target="_self" href="/docs/labeling-llm-data"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Labeling LLM data</span></span></a></li></ul></li></ul></section><section class="Sidebar-listWrapper6Q9_yUrG906C rm-Sidebar-section"><h2 class="Sidebar-headingTRQyOa2pk0gh rm-Sidebar-heading">Kili API</h2><ul class="Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/kili-api"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Kili API Overview</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/creating-an-api-key"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Creating an API key</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/using-graphql-playground-to-query-data"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Using GraphQL Playground to query data</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" data-active="" href="https://docs.kili-technology.com/reference/graphql-api"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">GraphQL API reference</span></span><i aria-hidden="true" class="Sidebar-link-externalIcon1RcnjKm-3Ft8 icon-arrow-up-right"></i></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" data-active="" href="https://python-sdk-docs.kili-technology.com/"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Python SDK reference</span></span><i aria-hidden="true" class="Sidebar-link-externalIcon1RcnjKm-3Ft8 icon-arrow-up-right"></i></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" rel="noopener" target="_blank" data-active="" href="https://python-sdk-docs.kili-technology.com/latest/tutorials/"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Python SDK tutorials</span></span><i aria-hidden="true" class="Sidebar-link-externalIcon1RcnjKm-3Ft8 icon-arrow-up-right"></i></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" data-active="" href="https://python-sdk-docs.kili-technology.com/latest/cli/"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">CLI reference</span></span><i aria-hidden="true" class="Sidebar-link-externalIcon1RcnjKm-3Ft8 icon-arrow-up-right"></i></a></li></ul></section><section class="Sidebar-listWrapper6Q9_yUrG906C rm-Sidebar-section"><h2 class="Sidebar-headingTRQyOa2pk0gh rm-Sidebar-heading">Troubleshooting</h2><ul class="Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/faq"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Frequently asked questions</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/troubleshooting-network-issues"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Troubleshooting network issues</span></span></a></li></ul></section><section class="Sidebar-listWrapper6Q9_yUrG906C rm-Sidebar-section"><h2 class="Sidebar-headingTRQyOa2pk0gh rm-Sidebar-heading">TERMS OF SERVICE</h2><ul class="Sidebar-list3cZWQLaBf9k8 rm-Sidebar-list"><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/terms-and-conditions"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Terms and conditions</span></span></a></li><li class="Sidebar-item23D-2Kd61_k3"><a class="Sidebar-link2Dsha-r-GKh2 childless text-wrap rm-Sidebar-link" target="_self" href="/docs/acceptable-use-policy"><span class="Sidebar-link-textLuTE1ySm4Kqn"><span class="Sidebar-link-text_label1gCT_uPnx7Gu">Acceptable Use Policy</span></span></a></li></ul></section></div></nav><article class="rm-Article " id="content"><header id="content-head"><div class="row clearfix"><div class="col-xs-9"><h1>Using semantic segmentation</h1></div><div class="col-xs-3"><a class="suggestEdits" rel="nofollow" href="/edit/semantic-segmentation"><i aria-hidden="true" class="icon icon-edit"></i> Suggest Edits</a></div></div></header><div class="grid-container-fluid" id="content-container"><section class="content-body grid-75"><div dehydrated="<p>The task of image semantic segmentation consists of detecting specific regions of objects within an image.<br/> So in image semantic segmentation, our goal is not only to identify the presence of given objects, but also to identify their <strong>positions, dimensions, and shape</strong>. This requires work at pixel level in order to classify every single pixel of the object. This can be achieved in an approximate way by drawing the shape of the object.</p> <p>In Kili app, semantic segmentation can be:</p> <ul> <li><a href="#semantic-segmentation" target="" title="">Standard semantic segmentation</a></li> <li><a href="#interactive-segmentation" target="" title="">Interactive semantic segmentation</a></li> </ul> <hr/> <p><a id="semantic-segmentation" href="" target="" title=""></a></p> <h2 class="heading heading-2 header-scroll" align=""><div class="heading-anchor anchor waypoint" id="standard-semantic-segmentation"></div><div class="heading-text"><div id="section-standard-semantic-segmentation" class="heading-anchor_backwardsCompatibility"></div>Standard semantic segmentation</div><a aria-label="Skip link to Standard semantic segmentation" class="heading-anchor-icon fa fa-anchor" href="#standard-semantic-segmentation"></a></h2> <p>To perform semantic segmentation:</p> <ol> <li>Select a category.</li> <li>Hover over a specific point of an image, and then press and hold your left mouse button.</li> <li>While holding the left mouse button, draw the shape of the object.</li> <li>To complete the shape, move your pointer to the your first point that you clicked on and release the left mouse button.</li> </ol> <blockquote class="callout callout_info" theme="📘"><h2 class="callout-heading empty"><span class="callout-icon">📘</span></h2><p>If you release the left mouse button while drawing, the line you&#x27;re drawing will change to a dashed line.<br/> You can now complete your shape by making a diagonal connection to the first point that you clicked on.</p></blockquote> <p>Example image showing how a shape is completed using a diagonal, dashed line:</p> <span aria-label="" class="img lightbox closed" role="button" tabindex="0"><span class="lightbox-inner"><img alt="" loading="lazy" src="https://files.readme.io/5693792-segmentation-complete.png" title="segmentation-complete.png" align="center" class="" width="50% " caption="" height="auto"/></span></span> <p>Example image with completed semantic segmentation on one object:</p> <span aria-label="" class="img lightbox closed" role="button" tabindex="0"><span class="lightbox-inner"><img alt="" loading="lazy" src="https://files.readme.io/50ada01-segmentation-stork.png" title="segmentation-stork.png" align="center" class="" width="50% " caption="" height="auto"/></span></span> <hr/> <p><a id="interactive-segmentation" href="" target="" title=""></a></p> <h2 class="heading heading-2 header-scroll" align=""><div class="heading-anchor anchor waypoint" id="interactive-semantic-segmentation-with-sam-2"></div><div class="heading-text"><div id="section-interactive-semantic-segmentation-with-sam-2" class="heading-anchor_backwardsCompatibility"></div>Interactive semantic segmentation with SAM 2</div><a aria-label="Skip link to Interactive semantic segmentation with SAM 2" class="heading-anchor-icon fa fa-anchor" href="#interactive-semantic-segmentation-with-sam-2"></a></h2> <blockquote class="callout callout_info" theme="📘"><h2 class="callout-heading empty"><span class="callout-icon">📘</span></h2><p>If the images are managed in a Cloud storage, Interactive segmentation will work only if the integration is set up with the <strong>Grant Kili authorization to process assets on its servers</strong> option activated.</p></blockquote> <p>To perform interactive semantic segmentation:</p> <ol> <li>Select a category.</li> <li>From the toolbar, select the interactive segmentation tool.</li> <li>You have the flexibility to create segmentation masks using two tailored models: <ul> <li><strong>Rapid</strong>: Get results quickly with a faster model, ideal for rapid processing.</li> <li><strong>High-Res</strong>: For tasks requiring higher precision, this model delivers greater accuracy at a slower pace.<br/> By default, the <strong>Rapid</strong> model is selected, but you can switch to the High-Res model if you require better accuracy.</li> </ul> </li> <li>Click on the object that you want to classify. Object mask will be created automatically.</li> </ol> <blockquote class="callout callout_info" theme="📘"><h2 class="callout-heading empty"><span class="callout-icon">📘</span></h2><ul> <li>Interactive segmentation has been implemented with the SAM 2 model working in the background, which means that the generated masks will be of very high quality. Getting the first generated mask may take a few seconds, but any subsequent masks will take much shorter to compute.</li> <li>You can interrupt the interactive segmentation process by pressing the <strong>ESC</strong> key.</li> </ul></blockquote> <ol start="4"> <li>Adjust the created mask:</li> </ol> <ul> <li>To add a specific region from the mask, click in the center of the region that you want to add to the mask. Region will be added automatically.</li> <li>To remove a specific region from the mask, press and hold <strong>Alt/Option</strong> and then click in the center of the region that you want to remove from the mask. Region will be removed automatically.</li> <li>To cancel and remove your mask, press the <strong>Escape</strong> key.</li> </ul> <p>In our example, our category is: “Car without wheels”. We want to select the car and remove its wheels.</p> <p>First, from the top menu, select the interactive segmentation tool, next, select the car. Finally, press and hold <strong>Alt/Option</strong> and then click in the center of the region that you want to remove from the mask:</p> <p><span aria-label="" class="img lightbox closed" role="button" tabindex="0"><span class="lightbox-inner"><img alt="" loading="lazy" src="https://files.readme.io/9193033-interactive-segmentation.gif" align="" caption="" height="auto" title="" width="auto"/></span></span></p> <blockquote class="callout callout_info" theme="📘"><h2 class="callout-heading empty"><span class="callout-icon">📘</span></h2><p>When using the Interactive Segmentation click tool (the magic wand icon), you can press the <strong>Enter</strong> key to validate the segmentation mask you’re working on and immediately start creating another one, without having to re-select the class and the tool with additional clicks. This speeds up the process of creating multiple annotations on the same image.</p></blockquote> <p><a id="bbox" href="" target="" title=""></a></p> <p>An alternative (and faster) way of adding annotations through interactive semantic segmentation is to use the Bounding box tool. When you use a bbox, you can more accurately target the object that you want to annotate.</p> <p><span aria-label="" class="img lightbox closed" role="button" tabindex="0"><span class="lightbox-inner"><img alt="" loading="lazy" src="https://files.readme.io/20ad7d5-interactive-segmentation-with-bbox_MEP_7_Jun-23.gif" align="" caption="" height="auto" title="" width="auto"/></span></span></p> <br/> <hr/> <p><a id="draw-over-existing-objects" href="" target="" title=""></a></p> <h2 class="heading heading-2 header-scroll" align=""><div class="heading-anchor anchor waypoint" id="draw-over-existing-objects"></div><div class="heading-text"><div id="section-draw-over-existing-objects" class="heading-anchor_backwardsCompatibility"></div>Draw over existing objects</div><a aria-label="Skip link to Draw over existing objects" class="heading-anchor-icon fa fa-anchor" href="#draw-over-existing-objects"></a></h2> <p>The &quot;Draw over existing object&quot; toggle allows you to choose whether the object you are drawing will overlap with existing ones or not.</p> <span aria-label="" class="img lightbox closed" role="button" tabindex="0"><span class="lightbox-inner"><img alt="" loading="lazy" src="https://files.readme.io/3728df6-image.png" align="center" class="" width="500px" caption="" height="auto" title=""/></span></span>" style="margin-left:31px" class="rm-Markdown markdown-body rm-Markdown markdown-body ng-non-bindable" data-testid="RDMD"><p>The task of image semantic segmentation consists of detecting specific regions of objects within an image.<br/> So in image semantic segmentation, our goal is not only to identify the presence of given objects, but also to identify their <strong>positions, dimensions, and shape</strong>. This requires work at pixel level in order to classify every single pixel of the object. This can be achieved in an approximate way by drawing the shape of the object.</p> <p>In Kili app, semantic segmentation can be:</p> <ul> <li><a target="_self" href="#semantic-segmentation">Standard semantic segmentation</a></li> <li><a target="_self" href="#interactive-segmentation">Interactive semantic segmentation</a></li> </ul> <hr/> <p><a target="_self" href="" id="semantic-segmentation"></a></p> <h2 class="heading heading-2 header-scroll" align=""><div class="heading-anchor anchor waypoint" id="standard-semantic-segmentation"></div><div class="heading-text"><div id="section-standard-semantic-segmentation" class="heading-anchor_backwardsCompatibility"></div>Standard semantic segmentation</div><a aria-label="Skip link to Standard semantic segmentation" class="heading-anchor-icon fa fa-anchor" href="#standard-semantic-segmentation"></a></h2> <p>To perform semantic segmentation:</p> <ol> <li>Select a category.</li> <li>Hover over a specific point of an image, and then press and hold your left mouse button.</li> <li>While holding the left mouse button, draw the shape of the object.</li> <li>To complete the shape, move your pointer to the your first point that you clicked on and release the left mouse button.</li> </ol> <blockquote class="callout callout_info" theme="📘"><h2 class="callout-heading empty"><span class="callout-icon">📘</span></h2><p>If you release the left mouse button while drawing, the line you're drawing will change to a dashed line.<br/> You can now complete your shape by making a diagonal connection to the first point that you clicked on.</p></blockquote> <p>Example image showing how a shape is completed using a diagonal, dashed line:</p> <span aria-label="" class="img lightbox closed" role="button" tabindex="0"><span class="lightbox-inner"><img alt="" loading="lazy" src="https://files.readme.io/5693792-segmentation-complete.png" title="segmentation-complete.png" align="center" class="" width="50% " caption="" height="auto"/></span></span> <p>Example image with completed semantic segmentation on one object:</p> <span aria-label="" class="img lightbox closed" role="button" tabindex="0"><span class="lightbox-inner"><img alt="" loading="lazy" src="https://files.readme.io/50ada01-segmentation-stork.png" title="segmentation-stork.png" align="center" class="" width="50% " caption="" height="auto"/></span></span> <hr/> <p><a target="_self" href="" id="interactive-segmentation"></a></p> <h2 class="heading heading-2 header-scroll" align=""><div class="heading-anchor anchor waypoint" id="interactive-semantic-segmentation-with-sam-2"></div><div class="heading-text"><div id="section-interactive-semantic-segmentation-with-sam-2" class="heading-anchor_backwardsCompatibility"></div>Interactive semantic segmentation with SAM 2</div><a aria-label="Skip link to Interactive semantic segmentation with SAM 2" class="heading-anchor-icon fa fa-anchor" href="#interactive-semantic-segmentation-with-sam-2"></a></h2> <blockquote class="callout callout_info" theme="📘"><h2 class="callout-heading empty"><span class="callout-icon">📘</span></h2><p>If the images are managed in a Cloud storage, Interactive segmentation will work only if the integration is set up with the <strong>Grant Kili authorization to process assets on its servers</strong> option activated.</p></blockquote> <p>To perform interactive semantic segmentation:</p> <ol> <li>Select a category.</li> <li>From the toolbar, select the interactive segmentation tool.</li> <li>You have the flexibility to create segmentation masks using two tailored models: <ul> <li><strong>Rapid</strong>: Get results quickly with a faster model, ideal for rapid processing.</li> <li><strong>High-Res</strong>: For tasks requiring higher precision, this model delivers greater accuracy at a slower pace.<br/> By default, the <strong>Rapid</strong> model is selected, but you can switch to the High-Res model if you require better accuracy.</li> </ul> </li> <li>Click on the object that you want to classify. Object mask will be created automatically.</li> </ol> <blockquote class="callout callout_info" theme="📘"><h2 class="callout-heading empty"><span class="callout-icon">📘</span></h2><ul> <li>Interactive segmentation has been implemented with the SAM 2 model working in the background, which means that the generated masks will be of very high quality. Getting the first generated mask may take a few seconds, but any subsequent masks will take much shorter to compute.</li> <li>You can interrupt the interactive segmentation process by pressing the <strong>ESC</strong> key.</li> </ul></blockquote> <ol start="4"> <li>Adjust the created mask:</li> </ol> <ul> <li>To add a specific region from the mask, click in the center of the region that you want to add to the mask. Region will be added automatically.</li> <li>To remove a specific region from the mask, press and hold <strong>Alt/Option</strong> and then click in the center of the region that you want to remove from the mask. Region will be removed automatically.</li> <li>To cancel and remove your mask, press the <strong>Escape</strong> key.</li> </ul> <p>In our example, our category is: “Car without wheels”. We want to select the car and remove its wheels.</p> <p>First, from the top menu, select the interactive segmentation tool, next, select the car. Finally, press and hold <strong>Alt/Option</strong> and then click in the center of the region that you want to remove from the mask:</p> <p><span aria-label="" class="img lightbox closed" role="button" tabindex="0"><span class="lightbox-inner"><img alt="" loading="lazy" src="https://files.readme.io/9193033-interactive-segmentation.gif" align="" caption="" height="auto" title="" width="auto"/></span></span></p> <blockquote class="callout callout_info" theme="📘"><h2 class="callout-heading empty"><span class="callout-icon">📘</span></h2><p>When using the Interactive Segmentation click tool (the magic wand icon), you can press the <strong>Enter</strong> key to validate the segmentation mask you’re working on and immediately start creating another one, without having to re-select the class and the tool with additional clicks. This speeds up the process of creating multiple annotations on the same image.</p></blockquote> <p><a target="_self" href="" id="bbox"></a></p> <p>An alternative (and faster) way of adding annotations through interactive semantic segmentation is to use the Bounding box tool. When you use a bbox, you can more accurately target the object that you want to annotate.</p> <p><span aria-label="" class="img lightbox closed" role="button" tabindex="0"><span class="lightbox-inner"><img alt="" loading="lazy" src="https://files.readme.io/20ad7d5-interactive-segmentation-with-bbox_MEP_7_Jun-23.gif" align="" caption="" height="auto" title="" width="auto"/></span></span></p> <br/> <hr/> <p><a target="_self" href="" id="draw-over-existing-objects"></a></p> <h2 class="heading heading-2 header-scroll" align=""><div class="heading-anchor anchor waypoint" id="draw-over-existing-objects"></div><div class="heading-text"><div id="section-draw-over-existing-objects" class="heading-anchor_backwardsCompatibility"></div>Draw over existing objects</div><a aria-label="Skip link to Draw over existing objects" class="heading-anchor-icon fa fa-anchor" href="#draw-over-existing-objects"></a></h2> <p>The "Draw over existing object" toggle allows you to choose whether the object you are drawing will overlap with existing ones or not.</p> <span aria-label="" class="img lightbox closed" role="button" tabindex="0"><span class="lightbox-inner"><img alt="" loading="lazy" src="https://files.readme.io/3728df6-image.png" align="center" class="" width="500px" caption="" height="auto" title=""/></span></span></div><div class="UpdatedAt"><p class="DateLine "><i class="icon icon-watch"></i>Updated 3 months ago </p></div><hr class="NextStepsDivider"/><nav aria-label="Pagination Controls" class="PaginationControlsjDYuqu8pBMUy rm-Pagination"></nav></section><section class="content-toc grid-25"><nav><ul class="toc-list"><li><a class="tocHeader" href="#"><i class="icon icon-text-align-left"></i>Table of Contents</a></li><li class="toc-children"><ul> <li><a href="#standard-semantic-segmentation">Standard semantic segmentation</a></li> <li><a href="#interactive-semantic-segmentation-with-sam-2">Interactive semantic segmentation with SAM 2</a></li> <li><a href="#draw-over-existing-objects">Draw over existing objects</a></li> </ul></li></ul></nav></section></div><div class="ModalWrapper" id="tutorialmodal-root"></div></article></div></main><footer aria-label="Status banner" class="AppFooter rm-Banners"></footer><div class="ModalWrapper" id="ChatGPT-modal"></div></div></div><div class="ng-non-bindable"><script id="ssr-props" data-initial-props="{"sidebars":{"docs":[{"_id":"67a2158dbc84d0006be9e6fb","title":"Overview","slug":"overview","order":0,"reference":false,"project":"62121c0be0aa2500a72e7230","version":"67a2158dbc84d0006be9e77d","createdAt":"2022-02-24T11:03:28.659Z","__v":0,"pages":[{"_id":"67a2158dbc84d0006be9e722","api":{"method":"get","url":"","auth":"required","results":{"codes":[{"name":"","code":"{}","language":"json","status":200},{"name":"","code":"{}","language":"json","status":400}]},"params":[],"examples":{"codes":[]}},"title":"Introduction to Kili 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Docs","subdomain":"kili","subpath":"","nav_names":{"docs":"Documentation","reference":"Reference","changelog":"","discuss":"FAQ","tutorials":"","recipes":""}}],"UrlManager":{"options":{"child":false,"parent":null,"hasOneChild":false,"project":null,"version":null,"lang":"en"},"defaults":{"lang":"en"}},"urlManagerOpts":{"lang":"en","parent":{"childrenProjects":[]},"project":{"subdomain":"kili"},"version":"2.170.0"}},"activeDoc":"semantic-segmentation","rdmd":{"baseUrl":"/","body":"The task of image semantic segmentation consists of detecting specific regions of objects within an image. \nSo in image semantic segmentation, our goal is not only to identify the presence of given objects, but also to identify their **positions, dimensions, and shape**. This requires work at pixel level in order to classify every single pixel of the object. This can be achieved in an approximate way by drawing the shape of the object.\n\nIn Kili app, semantic segmentation can be:\n\n- [Standard semantic segmentation](#semantic-segmentation)\n- [Interactive semantic segmentation](#interactive-segmentation)\n\n<hr>\n\n<a id=\"semantic-segmentation\"></a>\n\n## Standard semantic segmentation\n\nTo perform semantic segmentation:\n\n1. Select a category.\n2. Hover over a specific point of an image, and then press and hold your left mouse button.\n3. While holding the left mouse button, draw the shape of the object.\n4. To complete the shape, move your pointer to the your first point that you clicked on and release the left mouse button.\n\n> 📘 \n> \n> If you release the left mouse button while drawing, the line you're drawing will change to a dashed line. \n> You can now complete your shape by making a diagonal connection to the first point that you clicked on.\n\nExample image showing how a shape is completed using a diagonal, dashed line:\n\n[block:image]\n{\n \"images\": [\n {\n \"image\": [\n \"https://files.readme.io/5693792-segmentation-complete.png\",\n \"segmentation-complete.png\",\n \"\"\n ],\n \"align\": \"center\",\n \"sizing\": \"50% \"\n }\n ]\n}\n[/block]\n\n\nExample image with completed semantic segmentation on one object:\n\n[block:image]\n{\n \"images\": [\n {\n \"image\": [\n \"https://files.readme.io/50ada01-segmentation-stork.png\",\n \"segmentation-stork.png\",\n \"\"\n ],\n \"align\": \"center\",\n \"sizing\": \"50% \"\n }\n ]\n}\n[/block]\n\n\n<hr>\n\n<a id=\"interactive-segmentation\"></a>\n\n## Interactive semantic segmentation with SAM 2\n\n> 📘 \n> \n> If the images are managed in a Cloud storage, Interactive segmentation will work only if the integration is set up with the **Grant Kili authorization to process assets on its servers** option activated.\n\nTo perform interactive semantic segmentation:\n\n1. Select a category.\n2. From the toolbar, select the interactive segmentation tool.\n3. You have the flexibility to create segmentation masks using two tailored models:\n - **Rapid**: Get results quickly with a faster model, ideal for rapid processing.\n - **High-Res**: For tasks requiring higher precision, this model delivers greater accuracy at a slower pace. \n By default, the **Rapid** model is selected, but you can switch to the High-Res model if you require better accuracy.\n4. Click on the object that you want to classify. Object mask will be created automatically.\n\n> 📘 \n> \n> - Interactive segmentation has been implemented with the SAM 2 model working in the background, which means that the generated masks will be of very high quality. Getting the first generated mask may take a few seconds, but any subsequent masks will take much shorter to compute.\n> - You can interrupt the interactive segmentation process by pressing the **ESC** key.\n\n4. Adjust the created mask:\n\n- To add a specific region from the mask, click in the center of the region that you want to add to the mask. Region will be added automatically.\n- To remove a specific region from the mask, press and hold **Alt/Option** and then click in the center of the region that you want to remove from the mask. Region will be removed automatically.\n- To cancel and remove your mask, press the **Escape** key.\n\nIn our example, our category is: “Car without wheels”. We want to select the car and remove its wheels.\n\nFirst, from the top menu, select the interactive segmentation tool, next, select the car. Finally, press and hold **Alt/Option** and then click in the center of the region that you want to remove from the mask:\n\n![](https://files.readme.io/9193033-interactive-segmentation.gif)\n\n> 📘 \n> \n> When using the Interactive Segmentation click tool (the magic wand icon), you can press the **Enter** key to validate the segmentation mask you’re working on and immediately start creating another one, without having to re-select the class and the tool with additional clicks. This speeds up the process of creating multiple annotations on the same image.\n\n<a id=\"bbox\"></a>\n\nAn alternative (and faster) way of adding annotations through interactive semantic segmentation is to use the Bounding box tool. When you use a bbox, you can more accurately target the object that you want to annotate.\n\n![](https://files.readme.io/20ad7d5-interactive-segmentation-with-bbox_MEP_7_Jun-23.gif)\n\n<br />\n\n<hr>\n\n<a id=\"draw-over-existing-objects\"></a>\n\n## Draw over existing objects\n\nThe \"Draw over existing object\" toggle allows you to choose whether the object you are drawing will overlap with existing ones or not.\n\n[block:image]\n{\n \"images\": [\n {\n \"image\": [\n \"https://files.readme.io/3728df6-image.png\",\n null,\n \"\"\n ],\n \"align\": \"center\",\n \"sizing\": \"500px\"\n }\n ]\n}\n[/block]","dehydrated":{"toc":"<nav><ul class=\"toc-list\"><li><a class=\"tocHeader\" href=\"#\"><i class=\"icon icon-text-align-left\"></i>Table of Contents</a></li><li class=\"toc-children\"><ul>\n<li><a href=\"#standard-semantic-segmentation\">Standard semantic segmentation</a></li>\n<li><a href=\"#interactive-semantic-segmentation-with-sam-2\">Interactive semantic segmentation with SAM 2</a></li>\n<li><a href=\"#draw-over-existing-objects\">Draw over existing objects</a></li>\n</ul></li></ul></nav>","body":"<p>The task of image semantic segmentation consists of detecting specific regions of objects within an image.<br/>\nSo in image semantic segmentation, our goal is not only to identify the presence of given objects, but also to identify their <strong>positions, dimensions, and shape</strong>. This requires work at pixel level in order to classify every single pixel of the object. This can be achieved in an approximate way by drawing the shape of the object.</p>\n<p>In Kili app, semantic segmentation can be:</p>\n<ul>\n<li><a href=\"#semantic-segmentation\" target=\"\" title=\"\">Standard semantic segmentation</a></li>\n<li><a href=\"#interactive-segmentation\" target=\"\" title=\"\">Interactive semantic segmentation</a></li>\n</ul>\n<hr/>\n<p><a id=\"semantic-segmentation\" href=\"\" target=\"\" title=\"\"></a></p>\n<h2 class=\"heading heading-2 header-scroll\" align=\"\"><div class=\"heading-anchor anchor waypoint\" id=\"standard-semantic-segmentation\"></div><div class=\"heading-text\"><div id=\"section-standard-semantic-segmentation\" class=\"heading-anchor_backwardsCompatibility\"></div>Standard semantic segmentation</div><a aria-label=\"Skip link to Standard semantic segmentation\" class=\"heading-anchor-icon fa fa-anchor\" href=\"#standard-semantic-segmentation\"></a></h2>\n<p>To perform semantic segmentation:</p>\n<ol>\n<li>Select a category.</li>\n<li>Hover over a specific point of an image, and then press and hold your left mouse button.</li>\n<li>While holding the left mouse button, draw the shape of the object.</li>\n<li>To complete the shape, move your pointer to the your first point that you clicked on and release the left mouse button.</li>\n</ol>\n<blockquote class=\"callout callout_info\" theme=\"📘\"><h2 class=\"callout-heading empty\"><span class=\"callout-icon\">📘</span></h2><p>If you release the left mouse button while drawing, the line you&#x27;re drawing will change to a dashed line.<br/>\nYou can now complete your shape by making a diagonal connection to the first point that you clicked on.</p></blockquote>\n<p>Example image showing how a shape is completed using a diagonal, dashed line:</p>\n<span aria-label=\"\" class=\"img lightbox closed\" role=\"button\" tabindex=\"0\"><span class=\"lightbox-inner\"><img alt=\"\" loading=\"lazy\" src=\"https://files.readme.io/5693792-segmentation-complete.png\" title=\"segmentation-complete.png\" align=\"center\" class=\"\" width=\"50% \" caption=\"\" height=\"auto\"/></span></span>\n<p>Example image with completed semantic segmentation on one object:</p>\n<span aria-label=\"\" class=\"img lightbox closed\" role=\"button\" tabindex=\"0\"><span class=\"lightbox-inner\"><img alt=\"\" loading=\"lazy\" src=\"https://files.readme.io/50ada01-segmentation-stork.png\" title=\"segmentation-stork.png\" align=\"center\" class=\"\" width=\"50% \" caption=\"\" height=\"auto\"/></span></span>\n<hr/>\n<p><a id=\"interactive-segmentation\" href=\"\" target=\"\" title=\"\"></a></p>\n<h2 class=\"heading heading-2 header-scroll\" align=\"\"><div class=\"heading-anchor anchor waypoint\" id=\"interactive-semantic-segmentation-with-sam-2\"></div><div class=\"heading-text\"><div id=\"section-interactive-semantic-segmentation-with-sam-2\" class=\"heading-anchor_backwardsCompatibility\"></div>Interactive semantic segmentation with SAM 2</div><a aria-label=\"Skip link to Interactive semantic segmentation with SAM 2\" class=\"heading-anchor-icon fa fa-anchor\" href=\"#interactive-semantic-segmentation-with-sam-2\"></a></h2>\n<blockquote class=\"callout callout_info\" theme=\"📘\"><h2 class=\"callout-heading empty\"><span class=\"callout-icon\">📘</span></h2><p>If the images are managed in a Cloud storage, Interactive segmentation will work only if the integration is set up with the <strong>Grant Kili authorization to process assets on its servers</strong> option activated.</p></blockquote>\n<p>To perform interactive semantic segmentation:</p>\n<ol>\n<li>Select a category.</li>\n<li>From the toolbar, select the interactive segmentation tool.</li>\n<li>You have the flexibility to create segmentation masks using two tailored models:\n<ul>\n<li><strong>Rapid</strong>: Get results quickly with a faster model, ideal for rapid processing.</li>\n<li><strong>High-Res</strong>: For tasks requiring higher precision, this model delivers greater accuracy at a slower pace.<br/>\nBy default, the <strong>Rapid</strong> model is selected, but you can switch to the High-Res model if you require better accuracy.</li>\n</ul>\n</li>\n<li>Click on the object that you want to classify. Object mask will be created automatically.</li>\n</ol>\n<blockquote class=\"callout callout_info\" theme=\"📘\"><h2 class=\"callout-heading empty\"><span class=\"callout-icon\">📘</span></h2><ul>\n<li>Interactive segmentation has been implemented with the SAM 2 model working in the background, which means that the generated masks will be of very high quality. Getting the first generated mask may take a few seconds, but any subsequent masks will take much shorter to compute.</li>\n<li>You can interrupt the interactive segmentation process by pressing the <strong>ESC</strong> key.</li>\n</ul></blockquote>\n<ol start=\"4\">\n<li>Adjust the created mask:</li>\n</ol>\n<ul>\n<li>To add a specific region from the mask, click in the center of the region that you want to add to the mask. Region will be added automatically.</li>\n<li>To remove a specific region from the mask, press and hold <strong>Alt/Option</strong> and then click in the center of the region that you want to remove from the mask. Region will be removed automatically.</li>\n<li>To cancel and remove your mask, press the <strong>Escape</strong> key.</li>\n</ul>\n<p>In our example, our category is: “Car without wheels”. We want to select the car and remove its wheels.</p>\n<p>First, from the top menu, select the interactive segmentation tool, next, select the car. Finally, press and hold <strong>Alt/Option</strong> and then click in the center of the region that you want to remove from the mask:</p>\n<p><span aria-label=\"\" class=\"img lightbox closed\" role=\"button\" tabindex=\"0\"><span class=\"lightbox-inner\"><img alt=\"\" loading=\"lazy\" src=\"https://files.readme.io/9193033-interactive-segmentation.gif\" align=\"\" caption=\"\" height=\"auto\" title=\"\" width=\"auto\"/></span></span></p>\n<blockquote class=\"callout callout_info\" theme=\"📘\"><h2 class=\"callout-heading empty\"><span class=\"callout-icon\">📘</span></h2><p>When using the Interactive Segmentation click tool (the magic wand icon), you can press the <strong>Enter</strong> key to validate the segmentation mask you’re working on and immediately start creating another one, without having to re-select the class and the tool with additional clicks. This speeds up the process of creating multiple annotations on the same image.</p></blockquote>\n<p><a id=\"bbox\" href=\"\" target=\"\" title=\"\"></a></p>\n<p>An alternative (and faster) way of adding annotations through interactive semantic segmentation is to use the Bounding box tool. When you use a bbox, you can more accurately target the object that you want to annotate.</p>\n<p><span aria-label=\"\" class=\"img lightbox closed\" role=\"button\" tabindex=\"0\"><span class=\"lightbox-inner\"><img alt=\"\" loading=\"lazy\" src=\"https://files.readme.io/20ad7d5-interactive-segmentation-with-bbox_MEP_7_Jun-23.gif\" align=\"\" caption=\"\" height=\"auto\" title=\"\" width=\"auto\"/></span></span></p>\n<br/>\n<hr/>\n<p><a id=\"draw-over-existing-objects\" href=\"\" target=\"\" title=\"\"></a></p>\n<h2 class=\"heading heading-2 header-scroll\" align=\"\"><div class=\"heading-anchor anchor waypoint\" id=\"draw-over-existing-objects\"></div><div class=\"heading-text\"><div id=\"section-draw-over-existing-objects\" class=\"heading-anchor_backwardsCompatibility\"></div>Draw over existing objects</div><a aria-label=\"Skip link to Draw over existing objects\" class=\"heading-anchor-icon fa fa-anchor\" href=\"#draw-over-existing-objects\"></a></h2>\n<p>The &quot;Draw over existing object&quot; toggle allows you to choose whether the object you are drawing will overlap with existing ones or not.</p>\n<span aria-label=\"\" class=\"img lightbox closed\" role=\"button\" tabindex=\"0\"><span class=\"lightbox-inner\"><img alt=\"\" loading=\"lazy\" src=\"https://files.readme.io/3728df6-image.png\" align=\"center\" class=\"\" width=\"500px\" caption=\"\" height=\"auto\" title=\"\"/></span></span>"},"opts":{"alwaysThrow":false,"compatibilityMode":false,"copyButtons":true,"correctnewlines":false,"markdownOptions":{"fences":true,"commonmark":true,"gfm":true,"ruleSpaces":false,"listItemIndent":"1","spacedTable":true,"paddedTable":true},"normalize":true,"lazyImages":true,"reusableContent":{"tags":{}},"safeMode":false,"settings":{"position":true},"theme":"light","customBlocks":{},"resourceID":"67a2158dbc84d0006be9e73b","resourceType":"page","baseUrl":"/","terms":[{"_id":"62121c0be0aa2500a72e7231","term":"parliament","definition":"Owls are generally solitary, but when seen together the group is called a 'parliament'!"}],"variables":{"user":{},"defaults":[]}},"terms":[{"_id":"62121c0be0aa2500a72e7231","term":"parliament","definition":"Owls are generally solitary, but when seen together the group is called a 'parliament'!"}],"variables":{"user":{},"defaults":[]},"mdx":false},"doc":{"metadata":{"image":[],"title":"","description":"","keywords":"","robots":"index"},"mdx":{"altBody":"","status":"rdmd"},"api":{"method":"get","url":"","auth":"required","results":{"codes":[{"name":"","code":"{}","language":"json","status":200},{"name":"","code":"{}","language":"json","status":400}]},"params":[],"examples":{"codes":[]}},"next":{"description":"","pages":[]},"algolia":{"recordCount":1,"publishPending":false,"translationFailure":false,"updatedAt":"2025-02-14T15:48:13.235Z"},"title":"Using semantic segmentation","icon":"","updates":[],"type":"basic","slug":"semantic-segmentation","excerpt":"","body":"The task of image semantic segmentation consists of detecting specific regions of objects within an image. \nSo in image semantic segmentation, our goal is not only to identify the presence of given objects, but also to identify their **positions, dimensions, and shape**. This requires work at pixel level in order to classify every single pixel of the object. This can be achieved in an approximate way by drawing the shape of the object.\n\nIn Kili app, semantic segmentation can be:\n\n- [Standard semantic segmentation](#semantic-segmentation)\n- [Interactive semantic segmentation](#interactive-segmentation)\n\n<hr>\n\n<a id=\"semantic-segmentation\"></a>\n\n## Standard semantic segmentation\n\nTo perform semantic segmentation:\n\n1. Select a category.\n2. Hover over a specific point of an image, and then press and hold your left mouse button.\n3. While holding the left mouse button, draw the shape of the object.\n4. To complete the shape, move your pointer to the your first point that you clicked on and release the left mouse button.\n\n> 📘 \n> \n> If you release the left mouse button while drawing, the line you're drawing will change to a dashed line. \n> You can now complete your shape by making a diagonal connection to the first point that you clicked on.\n\nExample image showing how a shape is completed using a diagonal, dashed line:\n\n[block:image]\n{\n \"images\": [\n {\n \"image\": [\n \"https://files.readme.io/5693792-segmentation-complete.png\",\n \"segmentation-complete.png\",\n \"\"\n ],\n \"align\": \"center\",\n \"sizing\": \"50% \"\n }\n ]\n}\n[/block]\n\n\nExample image with completed semantic segmentation on one object:\n\n[block:image]\n{\n \"images\": [\n {\n \"image\": [\n \"https://files.readme.io/50ada01-segmentation-stork.png\",\n \"segmentation-stork.png\",\n \"\"\n ],\n \"align\": \"center\",\n \"sizing\": \"50% \"\n }\n ]\n}\n[/block]\n\n\n<hr>\n\n<a id=\"interactive-segmentation\"></a>\n\n## Interactive semantic segmentation with SAM 2\n\n> 📘 \n> \n> If the images are managed in a Cloud storage, Interactive segmentation will work only if the integration is set up with the **Grant Kili authorization to process assets on its servers** option activated.\n\nTo perform interactive semantic segmentation:\n\n1. Select a category.\n2. From the toolbar, select the interactive segmentation tool.\n3. You have the flexibility to create segmentation masks using two tailored models:\n - **Rapid**: Get results quickly with a faster model, ideal for rapid processing.\n - **High-Res**: For tasks requiring higher precision, this model delivers greater accuracy at a slower pace. \n By default, the **Rapid** model is selected, but you can switch to the High-Res model if you require better accuracy.\n4. Click on the object that you want to classify. Object mask will be created automatically.\n\n> 📘 \n> \n> - Interactive segmentation has been implemented with the SAM 2 model working in the background, which means that the generated masks will be of very high quality. Getting the first generated mask may take a few seconds, but any subsequent masks will take much shorter to compute.\n> - You can interrupt the interactive segmentation process by pressing the **ESC** key.\n\n4. Adjust the created mask:\n\n- To add a specific region from the mask, click in the center of the region that you want to add to the mask. Region will be added automatically.\n- To remove a specific region from the mask, press and hold **Alt/Option** and then click in the center of the region that you want to remove from the mask. Region will be removed automatically.\n- To cancel and remove your mask, press the **Escape** key.\n\nIn our example, our category is: “Car without wheels”. We want to select the car and remove its wheels.\n\nFirst, from the top menu, select the interactive segmentation tool, next, select the car. Finally, press and hold **Alt/Option** and then click in the center of the region that you want to remove from the mask:\n\n![](https://files.readme.io/9193033-interactive-segmentation.gif)\n\n> 📘 \n> \n> When using the Interactive Segmentation click tool (the magic wand icon), you can press the **Enter** key to validate the segmentation mask you’re working on and immediately start creating another one, without having to re-select the class and the tool with additional clicks. This speeds up the process of creating multiple annotations on the same image.\n\n<a id=\"bbox\"></a>\n\nAn alternative (and faster) way of adding annotations through interactive semantic segmentation is to use the Bounding box tool. 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