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<h1>A do-it-yourself AI system for analyzing imagery and video</h1> <div class="buttons"> <a href="https://www.viametoolkit.org/wp-content/uploads/2020/09/VIAME-AI-Workshop-Aug2020.pdf" class="cta1 button is-medium">Learn More</a> <a href="https://kitware.com/contact-us" class="cta2 button is-medium">Contact Us</a> </div> </div> </div> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/VIAME_hero_vF.png" alt="" class="hero-image"> </div> <div class="hero-alert content has-text-centered"> <div class="container"> <h3 class="alert-heading">Gold Medal Award for Scientific or Technical Achievement.</h3> <span class="alert-text"> The highest technical award within the US Department of Commerce was presented in 2019 to the NOAA members of the AIASI Steering Committee for developing VIAME and CoralNet. </span> <a href="https://blog.kitware.com/members-of-aiasi-steering-committee-recieve-gold-honor-award-for-viame-open-source-toolkit/" class="alert-link"> Learn more 禄 </a> </div> </div> <div id="primary" class="content-area"> <main id="main" class="site-main" role="main"> <article class="home-about-viame section"> <div class="container"> <header class="content has-text-centered"> <h2 class="title entry-title is-2">Welcome to VIAME</h2> </header><!-- .entry-header --> <div class="content entry-content px-4"> <div class="columns"> <div class="column has-play-btn vcenter-child"> <a class="vp-a" href="https://vimeo.com/617312537"><img class="vp-img" src="https://www.viametoolkit.org/wp-content/uploads/2021/09/viame-screenshot.jpg"></a> </div> <div class="column is-two-thirds px-4"> <p>In cooperation with the National Oceanic and Atmospheric Administration鈥檚 (NOAA) Automated Image Analysis Strategic Initiative (AIASI), Kitware and its partners have developed Video and Image Analytics for Marine Environments (VIAME). VIAME is an open source computer vision software platform designed for do-it-yourself artificial intelligence (AI). It is an evolving toolkit that contains many workflows used to generate different object detectors, full-frame classifiers, image mosaics, rapid model generation, image and video search, and methods for stereo measurement.</p> <p>Originally targeting marine species analytics, it now contains many common algorithms and libraries, and is also useful as a generic computer vision library outside of underwater image and video. VIAME is available as a desktop or a web application.</p> <div class="wp-block-group"><div class="wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow"></div></div> </div> </div> <!-- Action Cards --> <div class="action-cards columns is-centered is-variable is-5"> <div class="column is-one-quarter"> <a class="card" href="https://github.com/VIAME/VIAME#installations" target="_blank"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/download.svg" alt="" class="card-icon"> <span class="card-label"> Install VIAME </span> </a> </div> <div class="column is-one-quarter"> <a class="card" href="https://www.viametoolkit.org/support-services/" target=""> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/support.svg" alt="" class="card-icon"> <span class="card-label"> Support & Services </span> </a> </div> <div class="column is-one-quarter"> <a class="card" href="https://viame.readthedocs.io/en/latest/section_links/documentation_overview.html" target="_blank"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/documentation.svg" alt="" class="card-icon"> <span class="card-label"> Documentation </span> </a> </div> <div class="column is-one-quarter"> <a class="card" href="https://github.com/VIAME/VIAME" target="_blank"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/gh-source.svg" alt="" class="card-icon"> <span class="card-label"> Source Code </span> </a> </div> </div> </div><!-- .entry-content --> </div> </article><!-- #post-## --> <!-- VIAME in Action Slider --> <article class="section home-viame-in-action"> <header class="content has-text-centered"> <h2>VIAME in Action</h2> </header> <!-- VIAME in Action Slider --> <div class="carousel"> <div class="item-1"> <div class="card"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/10/Capabilities_Workflow.png" alt="" class="carousel-image"> <p class="carousel-blurb">VIAME offers three (3) core detection training workflows dependent on user needs and available training data.</p> </div> </div> <div class="item-2"> <div class="card"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/Capabilities_Video_Search.png" alt="" class="carousel-image"> <p class="carousel-blurb">Use Kitware鈥檚 Interactive Query Refinement (IQR) to rapidly generate models for new object classes with very little user effort. </p> </div> </div> <div class="item-3"> <div class="card"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/Capabilities_Web_Desktop.png" alt="" class="carousel-image"> <p class="carousel-blurb">Feel the freedom to use VIAME web interface for basic object detection and annotation or download the desktop version for higher level analytics.</p> </div> </div> <div class="item-4"> <div class="card"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/Capabilities_Object_Detection.png" alt="" class="carousel-image"> <p class="carousel-blurb">Access VIAME鈥檚 specialized object detectors and functionalities specific to maritime and other domains of interest, including multiple general purpose detectors for wide applicability. </p> </div> </div> <div class="item-5"> <div class="card"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/Capabilities_Object_Tracking.png" alt="" class="carousel-image"> <p class="carousel-blurb">VIAME users have access to multiple trackers that use different techniques, such as deep learning addressing multiple domains.</p> </div> </div> <div class="item-6"> <div class="card"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/Capabilities_Image_Enhancement.png" alt="" class="carousel-image"> <p class="carousel-blurb">Poor video quality or collection environments can be improved using VIAME鈥檚 image enhancement features.</p> </div> </div> <div class="item-7"> <div class="card"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/Capabilities_Image_Registration.png" alt="" class="carousel-image"> <p class="carousel-blurb">VIAME鈥檚 image registration and mosaicing can be used for multi-camera and multi-modality experiments in multiple domains.</p> </div> </div> <div class="item-8"> <div class="card"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/Capabilities_Annotation.png" alt="" class="carousel-image"> <p class="carousel-blurb">VIAME offers multiple types of annotation features down to the pixel-level to support object detection training workflows.</p> </div> </div> <div class="item-9"> <div class="card"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/Capabilities_Calibration.png" alt="" class="carousel-image"> <p class="carousel-blurb">We continue to conduct research and development using scene semantics and 3D reconstruction to improve object classification.</p> </div> </div> <div class="item-10"> <div class="card"> <img src="https://www.viametoolkit.org/wp-content/uploads/2020/09/Capabilities_Segmentation.png" alt="" class="carousel-image"> <p class="carousel-blurb">VIAME uses knowledge-driven scene understanding using deep-learning techniques to segment a scene into object types with high accuracy.</p> </div> </div> </div> </div> </article> <article class="home-latest-news section"> <header class="content has-text-centered"> <h2>Latest News</h2> </header> <div class="articles content"> <div id="awesome_post_embed" class="ape_posts_container"> <div class="ape_posts_wrapper"> <div class="ape_post"> <div class="ape_post_image_wrapper"> <a href="https://www.kitware.com/advancing-undersea-soundscape-awareness-kitwares-maritime-acoustic-recognition-and-identification-with-novel-algorithms-marina-project/" target="_blank" > <img src="https://www.kitware.com/main/wp-content/uploads/2025/04/darpa-marina-feature.jpg" class="ape_post_image"> </a> </div> <div class="ape_post_content"> <h3 class="ape_post_title"> <a href="https://www.kitware.com/advancing-undersea-soundscape-awareness-kitwares-maritime-acoustic-recognition-and-identification-with-novel-algorithms-marina-project/" target="_blank" > Advancing Undersea Soundscape Awareness: Kitware鈥檚 Maritime Acoustic Recognition and Identification with Novel Algorithms (MARINA) Project </a> </h3> <p><p>The ocean’s acoustic environment is a complex tapestry of sounds originating from the natural environment (e.g. waves, currents), biological sources (e.g. marine mammals, fish), and humans (e.g. boats, drilling). Underwater soundscape awareness facilitates understanding and monitoring the acoustic environments in oceans and other bodies of water.</p> </p> </div> </div> <div class="ape_post"> <div class="ape_post_image_wrapper"> <a href="https://www.kitware.com/ocean-sciences-meeting-2024/" target="_blank" > <img src="https://www.kitware.com/main/wp-content/uploads/2024/02/OSM_2024-Feature.jpg" class="ape_post_image"> </a> </div> <div class="ape_post_content"> <h3 class="ape_post_title"> <a href="https://www.kitware.com/ocean-sciences-meeting-2024/" target="_blank" > Ocean Sciences Meeting 2024 </a> </h3> <p><p>The Ocean Sciences Meeting (OSM) is the world’s leading ocean science conference. The event provides a forum for the ocean science community to share their research and collaborate on important initiatives. This year, OSM will focus on the importance of working together to build a sustainable future for our oceans.</p> </p> </div> </div> <div class="ape_post"> <div class="ape_post_image_wrapper"> <a href="https://www.kitware.com/wacv-2024/" target="_blank" > <img src="https://www.kitware.com/main/wp-content/uploads/2023/12/VIAME_Hero.jpg" class="ape_post_image"> </a> </div> <div class="ape_post_content"> <h3 class="ape_post_title"> <a href="https://www.kitware.com/wacv-2024/" target="_blank" > WACV 2024 </a> </h3> <p><p>Kitware is proud to be a Silver Sponsor of WACV 2024, and will have an in-person exhibit space (TP6). We look forward to showcasing our work in computer vision, and to contributing to the vibrant community of researchers and developers who are working to make computer vision more powerful and accessible. We are also speaking with potential applicants who are interested in joining our team of computer vision experts. Come meet our researchers and see what we鈥檙e working on!</p> </p> </div> </div> </div> </div> </div> </article> <article class="home-deep-dive px-6 section"> <header class="content has-text-centered"> <h2>Deep Dive on VIAME</h2> Interested in learning more about VIAME鈥檚 history, VIAME-related workshops, and publications that feature VIAME work? 鈥℉ere are some links that will help you dive deeper on VIAME </header> <div class="accordion"> <div class="acc-panels"> <div class="acc-panel"> <input type="checkbox" id="chck1"> <label class="acc-panel-label" for="chck1"> History </label> <div class="acc-panel-content content"> <p>In cooperation with NOAA’s Automated Image Analysis Strategic Initiative (AIASI), Kitware and its partners developed this open source system that analyzes video and imagery for fisheries stock assessment and a variety of other applications. This computer vision application is designed for DIY AI and allows a user to perform object detection, object tracking, image/video annotation, image/video search, image mosaicing, stereo measurement, rapid model generation, and provides tools for the evaluation of different algorithms.</p> <p>Although it was originally designed to target marine species analytics, it now contains many common algorithms and libraries, and is also useful as a generic computer vision library. Built upon an established open source video analytics toolkit, Kitware Image and Video Exploitation and Retrieval (<a href="http://kwiver.org">KWIVER</a>), VIAME enables the rapid integration of new visual analytics, and includes user interfaces, databases and evaluation/scoring capabilities. Algorithms from multiple NOAA Fisheries Science Centers (FSCs) are integrated, such as length measurement from the Alaska FSC.</p> <p>More significantly, VIAME includes the capability for scientists to create new analytics, specific to their problems, through user interfaces without any programming or knowledge of deep learning. Through image search and interactive query refinement, users can quickly build a complete detection and classification capability for a novel problem by providing only positive/negative feedback on examples suggested by the system, and then run it on any amount of imagery or video. For more challenging problems, users can manually annotate images and then train a deep learning detection and classification capability.</p> <p>VIAME has been successfully applied to many problems within the maritime and airborne domains including: scallop detection, plankton classification, fish classification, seal detection, sea lion detection, and image registration. Both a desktop and web version of VIAME exist for ease-of-use and convenience in different types of environments.<br /> In 2019, the US Department of Commerce presented members of the AIASI Steering Committee with a Gold Medal Award for “Scientific or Technical Achievement” for the development of VIAME and <a href="https://coralnet.ucsd.edu/">CoralNet</a>, another open source software toolkit. This is the highest technical award within the DOC.</p> </div> </div> <div class="acc-panel"> <input type="checkbox" id="chck2"> <label class="acc-panel-label" for="chck2"> Workshops, Presentations, and News </label> <div class="acc-panel-content content"> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="https://www.energy.gov/articles/doe-announces-72-million-small-business-research-and-development-grants" target="_blank"> VIAME Team Receives SBIR Award to Aid With Monitoring Bat Populations around Wind Turbines </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 07/12/2023 </div> </div> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="https://em4.fish/our-library/report-global-artificial-intelligence-in-fisheries-monitoring-summit/" target="_blank"> Invited to Pew Foundation Summit Targeting AI Use for Electronic Monitoring Onboard Vessels </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 01/22/2023 </div> </div> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="http://www.fao.org/3/cb4569en/cb4569en.pdf" target="_blank"> VIAME will be presented at a United Nations FAO Summit - Artificial Intelligence for a Digital Blue Planet </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 06/28/2021 </div> </div> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="https://blog.kitware.com/events/naml-2021/" target=""> Tutorial on VIAME presented at NAML (Annual Workshop on Naval Applications of Machine Learning) </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 03/25/2021 </div> </div> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="https://blog.kitware.com/events/the-marine-alliance-for-science-and-technology-for-scotland-masts-annual-science-meeting-2020/" target="_blank"> The Marine Alliance for Science and Technology for Scotland (MASTS) Annual Science Meeting 2020 </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 10/06/2020 </div> </div> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="https://blog.kitware.com/events/noaa-workshop-on-leveraging-ai-in-environmental-sciences/" target="_blank"> 27 AUG NOAA Workshop on Leveraging AI in Environmental Sciences (VIAME Overview) </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 09/27/2020 </div> </div> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="https://blog.kitware.com/events/noaa-workshop-on-leveraging-ai-in-environmental-sciences-viame-tutorial/" target="_blank"> NOAA Workshop on Leveraging AI in Environmental Sciences (VIAME Tutorial) </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 09/22/2020 </div> </div> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="https://agu.confex.com/agu/osm20/meetingapp.cgi/Paper/642487" target="_blank"> An Open-Source System for Do-It-Yourself AI in the Marine Environment | A Hoogs, MD Dawkins, B Rich </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 02/20/2020 </div> </div> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="https://agu.confex.com/agu/osm20/meetingapp.cgi/Paper/655914" target="_blank"> Moving Towards Machine Learning for the Analysis of Deep-Sea Imagery Collected by Autonomous Underwater Vehicle | A Powell, ME Clarke, MD Dawkins, B Richards, A Hoogs </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 02/20/2020 </div> </div> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="https://agu.confex.com/agu/osm20/meetingapp.cgi/Paper/647288" target="_blank"> Advanced Camera Technologies and Artificial Intelligence to Improve Marine Resource Surveys | B Richards, A Hoogs, MD Dawkins, J Taylor, SG Smith, JS Ault, MP Seki </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 02/17/2020 </div> </div> <div class="viame-event columns is-mobile"> <div class="column"> <span class="iconify" data-icon="mdi-calendar"></span> </div> <div class="column is-three-quarters-desktop is-half-mobile viame-event-title"> <a href="https://agu.confex.com/agu/os18/meetingapp.cgi/Paper/321598" target="_blank"> VIAME: Video and Image Analytics in Marine Environments | MD Dawkins, L Sherrill, J Crall, A Hoogs, D Zhang, B Richards, L Prasad, ... </a> </div> <div class="date-time column is-one-third"> <span class="date-label">Date:</span> 02/12/2018 </div> </div> </div> </div> <div class="acc-panel"> <input type="checkbox" id="chck3"> <label class="acc-panel-label" for="chck3"> Publications </label> <div class="acc-panel-content content"> <ol class="kwbib"> <li class="kwbib-entry">J. Prior, M. Campbell, M. Dawkins, P. Mickle, R. Moorhead, S. Alaba, C. Shah, J. Salisbury, K. Rademacher, A. Felts, and F. Wallace, "Estimating precision and accuracy of automated video post-processing: A step towards implementation of AI/ML for optics-based fish sampling," <span class="kwbib-journal-journal">Frontiers in Marine Science</span>, no. 10, pp. p.1150651, Apr. 2023.</li> <li class="kwbib-entry">M. Dawkins, J. Crall, M. Leotta, T. O鈥橦ara, and L. Siemann, "Towards Depth Fusion into Object Detectors for Improved Benthic Species Classification," in <span class="kwbib-conferencePaper-proceedingsTitle">ICPR CVAUI 2022</span>, 2022.</li> <li class="kwbib-entry">K. Ovchinnikova, M. James, T. Mendo, M. Dawkins, J. Crall, and K. Boswarva, "Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (Pecten maximus)," <span class="kwbib-journal-journal">Ecological Informatics</span>, no. 62, pp. p.101233, 2021.</li> <li class="kwbib-entry">A. Hoogs, M. Dawkins, B. Richards, G. Cutter, D. Hart, and M. Clarke, "An Open-Source System for Do-It-Yourself AI in the Marine Environment," in <span class="kwbib-conferencePaper-proceedingsTitle">Ocean Sciences Meeting 2020</span>, 2020.</li> <li class="kwbib-entry">B. Richards, O. Beijbom, M. Campbell, M. Clarke, G. Cutter, M. Dawkins, D. Edington, D. Hart, M. Hill, A. Hoogs, D. Kriegman, E. Moreland, T. Oliver, W. Michaels, M. Placentino, A. Rollo, C. Thompson, F. Wallace, I. Williams, and K. Williams, "Automated Analysis of Underwater Imagery: Accomplishments, Products, and Vision," <span class="kwbib-journal-journal">NOAA technical memorandum NMFS PIFSC</span>, 2019. <a class="kwbib-link" href="https://repository.library.noaa.gov/view/noaa/20234" target="_blank">[URL]</a></li> <li class="kwbib-entry">M. Dawkins, L. Sherrill, K. Fieldhouse, A. Hoogs, B. Richards, D. Zhang, L. Prasad, K. Williams, N. Lauffenburger, and G. Wang, "An open-source platform for underwater image and video analytics," in <span class="kwbib-conferencePaper-proceedingsTitle">Proceedings of the IEEE Winter Conference on Applications of Computer Vision</span>, 2017. <span class="kwbib-winner">Winner, Best Paper Honorable Mention.</span> <a class="kwbib-link" href="http://ieeexplore.ieee.org/document/7926688/" target="_blank">[URL]</a></li> <li class="kwbib-entry">M. Dawkins, C. Stewart, S. Gallager, and A. York, "Automatic scallop detection in benthic environments," in <span class="kwbib-conferencePaper-proceedingsTitle">Proceedings of the IEEE Workshop on Applications of Computer Vision</span>, 2013. <a class="kwbib-link" href="http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6475014" target="_blank">[URL]</a></li> <li class="kwbib-entry">M. Dawkins and C. Stewart, "Scallop detection in multiple maritime environments," Rensselaer Polytechnic Institute, 2011.</li> </ol> <p class="kwbib-timestamp">Bibliography generated 2023-07-20-13:18:06 (6150)<p> </div> </div> </div> </div> </article> <!-- About Kitware --> <article class="home-about-kitware section"> <header class="content has-text-centered"> <h2>About Kitware</h2> <div class="about-blurb has-text-centered"> <p>Founded in 1998, <a href="https://kitware.com">Kitware</a> is a global leader in developing advanced state-of-the-art AI and scientific research and development solutions. As early adopters of deep learning, this plays an essential role in everything we do. 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