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<!doctype html> <html class=""> <head> <meta charset="utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=no" /> <meta name="description" content="Learn about Image Classification using Machine Learning" /> <meta property="fb:app_id" content="1321688464574422" /> <meta name="twitter:card" content="summary_large_image" /> <meta name="twitter:site" content="@huggingface" /> <meta name="twitter:image" content="https://huggingface.co/front/thumbnails/v2-2.png" /> <meta property="og:title" content="What is Image Classification? - Hugging Face" /> <meta property="og:type" content="website" /> <meta property="og:url" content="https://huggingface.co/tasks/image-classification" /> <meta property="og:image" content="https://huggingface.co/front/thumbnails/v2-2.png" /> <link rel="stylesheet" href="/front/build/kube-7da12d3/style.css" /> <link rel="preconnect" href="https://fonts.gstatic.com" /> <link href="https://fonts.googleapis.com/css2?family=Source+Sans+Pro:ital,wght@0,200;0,300;0,400;0,600;0,700;0,900;1,200;1,300;1,400;1,600;1,700;1,900&display=swap" rel="stylesheet" /> <link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;600;700&display=swap" rel="stylesheet" /> <link rel="preload" href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.12.0/katex.min.css" as="style" onload="this.onload=null;this.rel='stylesheet'" /> <noscript> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.12.0/katex.min.css" /> </noscript> <link rel="canonical" href="https://huggingface.co/tasks/image-classification"> <script type="application/ld+json">{ "@context": "https:\/\/schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is Image Classification?", "acceptedAnswer": { "@type": "Answer", "text": "Image classification is the task of assigning a label or class to an entire image. Images are expected to have only one class for each image. Image classification models take an image as input and return a prediction about which class the image belongs to." } }, { "@type": "Question", "name": "What libraries can I use for Image Classification?", "acceptedAnswer": { "@type": "Answer", "text": "The keras, timm, transformers, and transformers.js libraries are compatible with Image Classification." } }, { "@type": "Question", "name": "What models can I use for Image Classification?", "acceptedAnswer": { "@type": "Answer", "text": "The google\/vit-base-patch16-224, facebook\/deit-base-distilled-patch16-224, and facebook\/convnext-large-224 models can be used for Image Classification." } }, { "@type": "Question", "name": "What datasets can I use for Image Classification?", "acceptedAnswer": { "@type": "Answer", "text": "The cifar100and fashion_mnist datasets can be used for Image Classification." } }, { "@type": "Question", "name": "What metrics can I use for Image Classification?", "acceptedAnswer": { "@type": "Answer", "text": 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fill="currentColor"></path></svg> Tasks</a> <div class="mb-8 flex items-center"><svg class="text-3xl mr-2.5 text-blue-400" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><polygon points="4 20 4 22 8.586 22 2 28.586 3.414 30 10 23.414 10 28 12 28 12 20 4 20"></polygon><path d="M19,14a3,3,0,1,0-3-3A3,3,0,0,0,19,14Zm0-4a1,1,0,1,1-1,1A1,1,0,0,1,19,10Z"></path><path d="M26,4H6A2,2,0,0,0,4,6V16H6V6H26V21.17l-3.59-3.59a2,2,0,0,0-2.82,0L18,19.17,11.8308,13l-1.4151,1.4155L14,18l2.59,2.59a2,2,0,0,0,2.82,0L21,19l5,5v2H16v2H26a2,2,0,0,0,2-2V6A2,2,0,0,0,26,4Z"></path></svg> <h1 class="text-3xl font-bold xl:text-4xl">Image Classification</h1></div> <p class="text-[1.2rem] text-gray-500">Image classification is the task of assigning a label or class to an entire image. Images are expected to have only one class for each image. Image classification models take an image as input and return a prediction about which class the image belongs to.</p> </section> <section class="max-w-2xl 2xl:max-w-3xl"><div class="relative z-0 grid grid-cols-1 gap-4 md:min-h-[250px] md:grid-cols-11"><div class="space-y-2 rounded-xl bg-gradient-to-br from-blue-100 to-transparent p-4 dark:from-gray-800 md:col-span-4"><div class="text-xl font-semibold text-blue-500">Inputs</div> <div class="pt-1.5"><img alt="" class="overflow-hidden rounded-lg object-cover" src="https://huggingface.co/datasets/huggingfacejs/tasks/resolve/main/image-classification/image-classification-input.jpeg"></div></div> <div class="relative flex min-h-[150px] items-center justify-center space-y-2 rounded-xl bg-gradient-to-br p-8 dark:from-gray-800 md:col-span-3 from-blue-100"><svg class="z-10 absolute top-0 -left-14 hidden md:block text-blue-300" width="87" height="30" viewBox="0 0 87 30" fill="none" xmlns="http://www.w3.org/2000/svg" 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0.0566406H10.9562V31.0695H18.1164L9.45615 46.0695L0.795898 31.0695H7.95615V0.0566406Z" fill="url(#linear-gradient-n8haybj24)"></path></svg> <svg class="z-10 absolute -bottom-9 md:hidden text-blue-100" width="19" height="47" viewBox="0 0 19 47" fill="none" xmlns="http://www.w3.org/2000/svg"><defs><linearGradient id="linear-gradient-flzss7fqd" x1="0%" y1="0%" x2="0%" y2="100%"><stop offset="0%" stop-color="currentColor"></stop><stop offset="100%" stop-color="#86efac"></stop></linearGradient></defs><path fill-rule="evenodd" clip-rule="evenodd" d="M7.95615 0.0566406H10.9562V31.0695H18.1164L9.45615 46.0695L0.795898 31.0695H7.95615V0.0566406Z" fill="url(#linear-gradient-flzss7fqd)"></path></svg> <div class="absolute inset-0 flex items-center justify-center"><svg class="text-9xl -mt-2 leading-tight opacity-50 dark:opacity-100 dark:text-gray-700 text-blue-400" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path class="uim-quaternary" d="M20.23 7.24L12 12L3.77 7.24a1.98 1.98 0 0 1 .7-.71L11 2.76c.62-.35 1.38-.35 2 0l6.53 3.77c.29.173.531.418.7.71z" opacity=".25" fill="currentColor"></path><path class="uim-tertiary" d="M12 12v9.5a2.09 2.09 0 0 1-.91-.21L4.5 17.48a2.003 2.003 0 0 1-1-1.73v-7.5a2.06 2.06 0 0 1 .27-1.01L12 12z" opacity=".5" fill="currentColor"></path><path class="uim-primary" d="M20.5 8.25v7.5a2.003 2.003 0 0 1-1 1.73l-6.62 3.82c-.275.13-.576.198-.88.2V12l8.23-4.76c.175.308.268.656.27 1.01z" fill="currentColor"></path></svg></div> <div class="z-10 text-center text-xl font-bold leading-7">Image Classification Model </div></div> <div class="relative space-y-2 rounded-xl bg-gradient-to-br from-green-100 to-transparent p-4 pb-10 dark:from-gray-800 md:col-span-4"><div class="text-xl font-semibold text-green-500">Output</div> <div class="space-y-3.5 pt-1.5"> <div class="animate__animated animate__fadeIn flex items-start justify-between font-mono text-xs leading-none transition duration-200 ease-in-out false" style="animation-delay: 0s"><div class="flex-1"><div class="mb-1 h-1 rounded bg-gradient-to-r from-green-400 to-green-200 dark:from-green-400 dark:to-green-600" style="width: max(80%, 1%);"></div> <span class="leading-snug">Egyptian cat</span></div> <span class="pl-2">0.514</span> </div> <div class="animate__animated animate__fadeIn flex items-start justify-between font-mono text-xs leading-none transition duration-200 ease-in-out false" style="animation-delay: 0.04s"><div class="flex-1"><div class="mb-1 h-1 rounded bg-gradient-to-r from-green-400 to-green-200 dark:from-green-400 dark:to-green-600" style="width: max(31%, 1%);"></div> <span class="leading-snug">Tabby cat</span></div> <span class="pl-2">0.193</span> </div> <div class="animate__animated animate__fadeIn flex items-start justify-between font-mono text-xs leading-none transition duration-200 ease-in-out false" style="animation-delay: 0.08s"><div class="flex-1"><div class="mb-1 h-1 rounded bg-gradient-to-r from-green-400 to-green-200 dark:from-green-400 dark:to-green-600" style="width: max(11%, 1%);"></div> <span class="leading-snug">Tiger cat</span></div> <span class="pl-2">0.068</span> </div></div></div></div></section> <section class="copiable-code-container max-w-2xl"><div class="SVELTE_HYDRATER contents" data-target="RepoCodeCopy" data-props="{}"><div></div></div> <h2 class="mb-8 text-3xl font-semibold">About Image Classification</h2> <div class="aspect-h-9 aspect-w-16 mb-8 w-full overflow-hidden rounded-lg"><iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen frameborder="0" height="100%" src="https://www.youtube.com/embed/tjAIM7BOYhw" title="Image Classification" width="100%"></iframe></div> <div class="prose-doc prose"><h2 class="relative group flex items-center"> <a id="use-cases" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" href="#use-cases" > <span class="header-link"><svg class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span> </a> <span> Use Cases </span> </h2> <p>Image classification models can be used when we are not interested in specific instances of objects with location information or their shape.</p> <h3 class="relative group flex items-center"> <a id="keyword-classification" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" href="#keyword-classification" > <span class="header-link"><svg class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span> </a> <span> Keyword Classification </span> </h3> <p>Image classification models are used widely in stock photography to assign each image a keyword.</p> <h3 class="relative group flex items-center"> <a id="image-search" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" href="#image-search" > <span class="header-link"><svg class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span> </a> <span> Image Search </span> </h3> <p>Models trained in image classification can improve user experience by organizing and categorizing photo galleries on the phone or in the cloud, on multiple keywords or tags.</p> <h2 class="relative group flex items-center"> <a id="inference" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" href="#inference" > <span class="header-link"><svg class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span> </a> <span> Inference </span> </h2> <p>With the <code>transformers</code> library, you can use the <code>image-classification</code> pipeline to infer with image classification models. You can initialize the pipeline with a model id from the Hub. If you do not provide a model id it will initialize with <a href="https://huggingface.co/google/vit-base-patch16-224">google/vit-base-patch16-224</a> by default. When calling the pipeline you just need to specify a path, http link or an image loaded in PIL. You can also provide a <code>top_k</code> parameter which determines how many results it should return.</p> <pre><code class="language-python"><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline clf = pipeline(<span class="hljs-string">"image-classification"</span>) clf(<span class="hljs-string">"path_to_a_cat_image"</span>) [{<span class="hljs-string">'label'</span>: <span class="hljs-string">'tabby cat'</span>, <span class="hljs-string">'score'</span>: <span class="hljs-number">0.731</span>}, ... ] </code></pre> <p>You can use <a href="https://github.com/huggingface/huggingface.js">huggingface.js</a> to classify images using models on Hugging Face Hub.</p> <pre><code class="language-javascript"><span class="hljs-keyword">import</span> { <span class="hljs-title class_">HfInference</span> } <span class="hljs-keyword">from</span> <span class="hljs-string">"@huggingface/inference"</span>; <span class="hljs-keyword">const</span> inference = <span class="hljs-keyword">new</span> <span class="hljs-title class_">HfInference</span>(<span class="hljs-variable constant_">HF_TOKEN</span>); <span class="hljs-keyword">await</span> inference.<span class="hljs-title function_">imageClassification</span>({ <span class="hljs-attr">data</span>: <span class="hljs-keyword">await</span> (<span class="hljs-keyword">await</span> <span class="hljs-title function_">fetch</span>(<span class="hljs-string">"https://picsum.photos/300/300"</span>)).<span class="hljs-title function_">blob</span>(), <span class="hljs-attr">model</span>: <span class="hljs-string">"microsoft/resnet-50"</span>, }); </code></pre> <h2 class="relative group flex items-center"> <a id="useful-resources" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" href="#useful-resources" > <span class="header-link"><svg class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span> </a> <span> Useful Resources </span> </h2> <ul> <li><a href="https://www.youtube.com/watch?v=LS9Y2wDVI0k">Let's Play Pictionary with Machine Learning!</a></li> <li><a href="https://huggingface.co/blog/fine-tune-vit">Fine-Tune ViT for Image Classification with 🤗Transformers</a></li> <li><a href="https://www.youtube.com/watch?v=oL-xmufhZM8">Walkthrough of Computer Vision Ecosystem in Hugging Face - CV Study Group</a></li> <li><a href="https://www.youtube.com/watch?v=Ngikt-K1Ecc">Computer Vision Study Group: Swin Transformer</a></li> <li><a href="https://www.youtube.com/watch?v=Ngikt-K1Ecc">Computer Vision Study Group: Masked Autoencoders Paper Walkthrough</a></li> <li><a href="https://huggingface.co/docs/transformers/tasks/image_classification">Image classification task guide</a></li> </ul> <h3 class="relative group flex items-center"> <a id="creating-your-own-image-classifier-in-just-a-few-minutes" class="block pr-1.5 text-lg md:absolute md:p-1.5 md:opacity-0 md:group-hover:opacity-100 md:right-full" href="#creating-your-own-image-classifier-in-just-a-few-minutes" > <span class="header-link"><svg class="text-gray-500 hover:text-black dark:hover:text-gray-200 w-4" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span> </a> <span> Creating your own image classifier in just a few minutes </span> </h3> <p>With <a href="https://github.com/nateraw/huggingpics">HuggingPics</a>, you can fine-tune Vision Transformers for anything using images found on the web. This project downloads images of classes defined by you, trains a model, and pushes it to the Hub. You even get to try out the model directly with a working widget in the browser, ready to be shared with all your friends!</p> </div></section></div> <div class="flex-none space-y-8 pt-12 lg:col-span-5"><div class="flex flex-col gap-2 sm:flex-row"><a class="flex flex-wrap items-center justify-center whitespace-nowrap rounded-lg border-gray-100 bg-gradient-to-r from-orange-100 to-red-100 px-4 py-2 text-center text-sm text-gray-700 hover:to-red-200 hover:text-gray-900 dark:from-gray-900 dark:to-gray-925 dark:hover:text-gray-200" href="/autotrain">Available in <svg class="w-20 h-5 -mb-0.5 ml-1 inline flex-none" width="1em" height="100%" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" role="img" viewBox="0 0 1322 192" fill="none"><rect x="592" width="730" height="192" rx="31" fill="black"></rect><mask id="mask0_97_2" style="mask-type:alpha" maskUnits="userSpaceOnUse" x="623" y="32" width="669" height="129"><path fill-rule="evenodd" clip-rule="evenodd" d="M629 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justify-center whitespace-nowrap rounded-lg border-gray-100 bg-gradient-to-r from-indigo-100 to-pink-100 px-4 py-2 text-center text-sm text-gray-700 hover:to-pink-200 hover:text-gray-900 dark:from-gray-900 dark:to-gray-925 dark:hover:text-gray-200" href="https://ui.endpoints.huggingface.co/new?repository=google/vit-base-patch16-224" target="_blank">Deploy on <svg class="mx-1 inline flex-none" width="1em" height="1em" viewBox="0 0 74 75" fill="none" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M46.6517 14.9309C48.2799 11.0495 45.4292 6.76251 41.2202 6.76251H24.1817C19.8066 6.76251 15.9021 9.50789 14.4218 13.6249L8.51785 30.0453C6.77792 34.8844 6.77792 40.1785 8.51785 45.0177L14.4218 61.438C15.9021 65.5551 19.8066 68.3004 24.1817 68.3004H41.2202C45.4292 68.3004 48.2799 64.0134 46.6517 60.132L40.7616 46.0903C38.465 40.6155 38.465 34.4475 40.7616 28.9727L46.6517 14.9309Z" fill="#861FFF" stroke="black" stroke-width="12.6835" stroke-linejoin="round"></path><circle cx="53.1334" cy="37.5315" r="13.9518" fill="#FF3270" stroke="black" stroke-width="12.6835" stroke-linejoin="round"></circle></svg> <span class="font-semibold">Inference Endpoints</span></a></div> <div><h2 class="mb-2.5 font-semibold">Compatible libraries</h2> <div class="flex flex-wrap items-center overflow-hidden"><a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/models?library=keras&pipeline_tag=image-classification"><div class="tag tag-white "><svg class="text-black inline-block text-sm" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" preserveAspectRatio="xMidYMid meet" width="1em" height="1em" viewBox="0 0 32 32"><path d="M32,32H0V0H32V32Z" fill="#fff"></path><path d="M31.47,31.47H.53V.53H31.47V31.47Z" fill="#d00000"></path><path d="M9,24.41a.11.11,0,0,0,0,.07l.53.53.07,0h1.81l.07,0,.53-.53a.11.11,0,0,0,0-.07V18.66a.19.19,0,0,1,0-.08l2.31-2.19a0,0,0,0,1,0,0L20.26,25a.08.08,0,0,0,.06,0h2.57A.08.08,0,0,0,23,25l.47-.9a.08.08,0,0,0,0-.08l-6.8-9.86a0,0,0,0,1,0-.06l6.25-6.23a.11.11,0,0,0,0-.07V7.68s0-.06,0-.08l-.37-.83s0,0-.05,0H19.93a.11.11,0,0,0-.07,0l-7.78,7.81s0,0,0,0V7.4a.11.11,0,0,0,0-.08l-.51-.55a.12.12,0,0,0-.08,0H9.61a.1.1,0,0,0-.07,0L9,7.34a.11.11,0,0,0,0,.07v17Z" fill="#fff"></path></svg> <span>Keras</span> </div></a><a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/models?library=timm&pipeline_tag=image-classification"><div class="tag tag-white "> <span>timm</span> </div></a><a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/models?library=transformers&pipeline_tag=image-classification"><div class="tag tag-white "><svg class="text-black inline-block text-sm" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" preserveAspectRatio="xMidYMid meet" width="1em" height="1em" viewBox="0 0 95 88"><path fill="#fff" d="M94.25 70.08a8.28 8.28 0 0 1-.43 6.46 10.57 10.57 0 0 1-3 3.6 25.18 25.18 0 0 1-5.7 3.2 65.74 65.74 0 0 1-7.56 2.65 46.67 46.67 0 0 1-11.42 1.68c-5.42.05-10.09-1.23-13.4-4.5a40.4 40.4 0 0 1-10.14.03c-3.34 3.25-7.99 4.52-13.39 4.47a46.82 46.82 0 0 1-11.43-1.68 66.37 66.37 0 0 1-7.55-2.65c-2.28-.98-4.17-2-5.68-3.2a10.5 10.5 0 0 1-3.02-3.6c-.99-2-1.18-4.3-.42-6.46a8.54 8.54 0 0 1-.33-5.63c.25-.95.66-1.83 1.18-2.61a8.67 8.67 0 0 1 2.1-8.47 8.23 8.23 0 0 1 2.82-2.07 41.75 41.75 0 1 1 81.3-.12 8.27 8.27 0 0 1 3.11 2.19 8.7 8.7 0 0 1 2.1 8.47c.52.78.93 1.66 1.18 2.61a8.61 8.61 0 0 1-.32 5.63Z"></path><path fill="#FFD21E" d="M47.21 76.5a34.75 34.75 0 1 0 0-69.5 34.75 34.75 0 0 0 0 69.5Z"></path><path fill="#FF9D0B" d="M81.96 41.75a34.75 34.75 0 1 0-69.5 0 34.75 34.75 0 0 0 69.5 0Zm-73.5 0a38.75 38.75 0 1 1 77.5 0 38.75 38.75 0 0 1-77.5 0Z"></path><path fill="#3A3B45" d="M58.5 32.3c1.28.44 1.78 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2.87-2.82A7.4 7.4 0 0 1 77.4 48Zm0 4c-.51 0-1.13.22-1.82.65-2.13 1.36-6.25 8.43-7.76 11.18a2.43 2.43 0 0 1-2.14 1.31c-1.54 0-2.75-1.53-.14-3.48 3.91-2.93 2.54-7.72.67-8.01a1.54 1.54 0 0 0-.24-.02c-1.7 0-2.45 2.93-2.45 2.93s-2.2 5.52-5.97 9.3c-3.78 3.77-3.98 6.8-1.22 10.83 1.87 2.75 5.47 3.58 9.15 3.58 3.82 0 7.73-.9 9.93-1.46.1-.03 13.45-3.8 11.76-7-.29-.54-.75-.76-1.34-.76-2.38 0-6.71 3.54-8.57 3.54-.42 0-.71-.17-.83-.6-.8-2.85 12.05-4.05 10.97-8.17-.19-.73-.7-1.02-1.44-1.02-3.14 0-10.2 5.53-11.68 5.53-.1 0-.19-.03-.23-.1-.74-1.2-.34-2.04 4.88-5.2 5.23-3.16 8.9-5.06 6.8-7.33-.23-.26-.57-.38-.98-.38-3.18 0-10.67 6.82-10.67 6.82s-2.02 2.1-3.24 2.1a.74.74 0 0 1-.68-.38c-.87-1.46 8.05-8.22 8.55-11.01.34-1.9-.24-2.85-1.31-2.85Z"></path><path fill="#FFD21E" d="M56.33 76.69c-2.75-4.04-2.56-7.07 1.22-10.84 3.77-3.77 5.97-9.3 5.97-9.3s.82-3.2 2.7-2.9c1.86.3 3.23 5.08-.68 8.01-3.92 2.93.78 4.92 2.28 2.17 1.51-2.75 5.63-9.82 7.76-11.18 2.13-1.35 3.64-.6 3.13 2.2-.5 2.79-9.42 9.55-8.55 11 .86 1.47 3.92-1.71 3.92-1.71s9.58-8.71 11.66-6.44c2.08 2.27-1.58 4.17-6.8 7.33-5.23 3.16-5.63 4-4.9 5.2.75 1.2 12.28-8.53 13.36-4.4 1.08 4.11-11.76 5.3-10.97 8.15.8 2.85 9.05-5.38 10.74-2.18 1.69 3.21-11.65 6.98-11.76 7.01-4.31 1.12-15.26 3.49-19.08-2.12Z"></path></svg> <span>Transformers</span> </div></a><a class="mb-1 mr-1 md:mb-1.5 md:mr-1.5 rounded-lg" href="/models?library=transformers.js&pipeline_tag=image-classification"><div class="tag tag-white "><svg class="text-black inline-block text-sm" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><rect width="32" height="32" fill="#f7df1e"></rect><path d="M21.5,25a3.27,3.27,0,0,0,3,1.83c1.25,0,2-.63,2-1.49,0-1-.81-1.39-2.19-2L23.56,23C21.39,22.1,20,20.94,20,18.49c0-2.25,1.72-4,4.41-4a4.44,4.44,0,0,1,4.27,2.41l-2.34,1.5a2,2,0,0,0-1.93-1.29,1.31,1.31,0,0,0-1.44,1.29c0,.9.56,1.27,1.85,1.83l.75.32c2.55,1.1,4,2.21,4,4.72,0,2.71-2.12,4.19-5,4.19a5.78,5.78,0,0,1-5.48-3.07Zm-10.63.26c.48.84.91,1.55,1.94,1.55s1.61-.39,1.61-1.89V14.69h3V25c0,3.11-1.83,4.53-4.49,4.53a4.66,4.66,0,0,1-4.51-2.75Z"></path></svg> <span>Transformers.js</span> </div></a></div></div> <section class="shadow-alternate-sm rounded-xl border border-gray-100 px-4 pb-4 pt-3 "><div class="mb-1.5 flex items-center whitespace-nowrap font-semibold text-gray-800 lg:text-lg"><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" class="mr-1.5 flex-none text-yellow-400" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path d="M11 15H6l7-14v8h5l-7 14v-8z" fill="currentColor"></path></svg> Image Classification demo</div> <div class="flex space-x-1.5 text-gray-500"><span>using</span> <a class="ml-1 block text-gray-700 underline hover:text-gray-900 dark:hover:text-gray-100" href="/google/vit-base-patch16-224">google/vit-base-patch16-224 </a></div> <div class="flex w-full flex-1"><div class="SVELTE_HYDRATER contents" data-target="InferenceWidget" data-props="{"apiUrl":"https://api-inference.huggingface.co","model":{"author":"google","cardData":{"license":"apache-2.0","tags":["vision","image-classification"],"datasets":["imagenet-1k","imagenet-21k"],"widget":[{"src":"https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg","example_title":"Tiger"},{"src":"https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg","example_title":"Teapot"},{"src":"https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg","example_title":"Palace"}]},"cardExists":true,"config":{"architectures":["ViTForImageClassification"],"model_type":"vit"},"createdAt":"2022-03-02T23:29:05.000Z","discussionsDisabled":false,"downloads":3725637,"downloadsAllTime":78783632,"id":"google/vit-base-patch16-224","isLikedByUser":false,"inference":"warm","lastModified":"2023-09-05T15:27:12.000Z","likes":690,"pipeline_tag":"image-classification","library_name":"transformers","librariesOther":[],"trackDownloads":true,"model-index":null,"private":false,"repoType":"model","gated":false,"tags":["transformers","pytorch","tf","jax","safetensors","vit","image-classification","vision","dataset:imagenet-1k","dataset:imagenet-21k","arxiv:2010.11929","arxiv:2006.03677","license:apache-2.0","autotrain_compatible","endpoints_compatible","region:us"],"tag_objs":[{"id":"image-classification","label":"Image Classification","type":"pipeline_tag","subType":"cv"},{"id":"transformers","label":"Transformers","type":"library"},{"id":"pytorch","label":"PyTorch","type":"library"},{"id":"tf","label":"TensorFlow","type":"library"},{"id":"jax","label":"JAX","type":"library"},{"id":"safetensors","label":"Safetensors","type":"library"},{"id":"dataset:imagenet-1k","label":"imagenet-1k","type":"dataset","extra":{"disabled":true}},{"id":"dataset:imagenet-21k","label":"imagenet-21k","type":"dataset","extra":{"disabled":true}},{"id":"vit","label":"vit","type":"other"},{"id":"vision","label":"vision","type":"other"},{"id":"autotrain_compatible","label":"AutoTrain Compatible","type":"other"},{"id":"endpoints_compatible","label":"Inference Endpoints","type":"other"},{"id":"arxiv:2010.11929","label":"arxiv:2010.11929","type":"arxiv","extra":{"paperTitle":"An Image is Worth 16x16 Words: Transformers for Image Recognition at\n Scale"}},{"id":"arxiv:2006.03677","label":"arxiv:2006.03677","type":"arxiv","extra":{"paperTitle":"Visual Transformers: Token-based Image Representation and Processing for\n Computer Vision"}},{"id":"license:apache-2.0","label":"apache-2.0","type":"license"},{"type":"region","label":"🇺🇸 Region: US","id":"region:us"}],"transformersInfo":{"auto_model":"AutoModelForImageClassification","pipeline_tag":"image-classification","processor":"AutoImageProcessor"},"widgetData":[{"src":"https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg","example_title":"Tiger"},{"src":"https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg","example_title":"Teapot"},{"src":"https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg","example_title":"Palace"}],"safetensors":{"parameters":{"F32":86567656},"total":86567656,"sharded":false},"hasBlockedOids":false},"noTitle":true,"shouldUpdateUrl":false,"isLoggedIn":false,"includeCredentials":true}"><form class="flex w-full max-w-full flex-col "> <div class="mb-0.5 flex w-full max-w-full flex-wrap items-center text-sm text-gray-500"><div class="mb-1.5 flex items-center gap-4"><a href="/tasks/image-classification" target="_blank" title="Learn more about image-classification"><div class="inline-flex items-center hover:underline"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><polygon points="4 20 4 22 8.586 22 2 28.586 3.414 30 10 23.414 10 28 12 28 12 20 4 20"></polygon><path d="M19,14a3,3,0,1,0-3-3A3,3,0,0,0,19,14Zm0-4a1,1,0,1,1-1,1A1,1,0,0,1,19,10Z"></path><path d="M26,4H6A2,2,0,0,0,4,6V16H6V6H26V21.17l-3.59-3.59a2,2,0,0,0-2.82,0L18,19.17,11.8308,13l-1.4151,1.4155L14,18l2.59,2.59a2,2,0,0,0,2.82,0L21,19l5,5v2H16v2H26a2,2,0,0,0,2-2V6A2,2,0,0,0,26,4Z"></path></svg> <span>Image Classification</span></div></a></div> <div class="ml-auto flex gap-2"> </div></div> <input accept="image/*" style="display: none;" type="file"> <span class="inline-block w-full"><span class="contents"> <div class="relative cursor-pointer rounded border-2 border-dashed px-3 py-7 text-center text-gray-500 no-hover:hidden"><span class="pointer-events-none text-sm">Drag image file here or click to browse from your device</span> </div></span> </span> <span class="inline-block "><span class="contents"><button type="button"><label class="btn-widget mr-2 md:hidden"><svg class="-ml-1 mr-1.5 " xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M25.7 9.3l-7-7A.908.908 0 0 0 18 2H8a2.006 2.006 0 0 0-2 2v24a2.006 2.006 0 0 0 2 2h16a2.006 2.006 0 0 0 2-2V10a.908.908 0 0 0-.3-.7zM18 4.4l5.6 5.6H18zM24 28H8V4h8v6a2.006 2.006 0 0 0 2 2h6z" fill="currentColor"></path></svg> <input accept="image/*" style="display: none;" type="file"> Browse for image</label></button></span> </span> <div class="mt-2"><div class="text-sm text-gray-400"></div> </div> <div class="flex items-center gap-x-2 text-sm text-gray-500"><button class="flex 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0 32 32"><path d="M22 16h2V8h-8v2h6v6z" fill="currentColor"></path><path d="M8 24h8v-2h-6v-6H8v8z" fill="currentColor"></path><path d="M26 28H6a2.002 2.002 0 0 1-2-2V6a2.002 2.002 0 0 1 2-2h20a2.002 2.002 0 0 1 2 2v20a2.002 2.002 0 0 1-2 2zM6 6v20h20.001L26 6z" fill="currentColor"></path></svg> Maximize</button></span> </span></div></div></form></div></div> </section> <section class="shadow-alternate-sm rounded-xl border border-gray-100 px-4 pb-4 pt-3 "><div class="mb-1.5 flex items-center whitespace-nowrap font-semibold text-gray-800 lg:text-lg"><svg class="mr-1.5 flex-none text-indigo-400" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path class="uim-quaternary" d="M20.23 7.24L12 12L3.77 7.24a1.98 1.98 0 0 1 .7-.71L11 2.76c.62-.35 1.38-.35 2 0l6.53 3.77c.29.173.531.418.7.71z" opacity=".25" fill="currentColor"></path><path class="uim-tertiary" d="M12 12v9.5a2.09 2.09 0 0 1-.91-.21L4.5 17.48a2.003 2.003 0 0 1-1-1.73v-7.5a2.06 2.06 0 0 1 .27-1.01L12 12z" opacity=".5" fill="currentColor"></path><path class="uim-primary" d="M20.5 8.25v7.5a2.003 2.003 0 0 1-1 1.73l-6.62 3.82c-.275.13-.576.198-.88.2V12l8.23-4.76c.175.308.268.656.27 1.01z" fill="currentColor"></path></svg> <div class="truncate">Models for Image Classification</div> <a class="btn ml-4 text-sm font-normal" href="/models?pipeline_tag=image-classification">Browse Models (14,851)</a> </div> <div class="mt-4 space-y-4"><div><div class="mb-2 overflow-hidden"><article class="overview-card-wrapper group/repo "><a class="flex items-center justify-between gap-4 p-2" href="/google/vit-base-patch16-224"><div class="w-full truncate"><header class="flex items-center mb-0.5" title="google/vit-base-patch16-224"> <img alt="" class="w-3.5 h-3.5 rounded mr-1.5 flex-none flex-none" src="https://cdn-avatars.huggingface.co/v1/production/uploads/5dd96eb166059660ed1ee413/WtA3YYitedOr9n02eHfJe.png" crossorigin="anonymous"> <h4 class="text-md truncate font-mono text-black dark:group-hover/repo:text-yellow-500 group-hover/repo:text-indigo-600 text-smd">google/vit-base-patch16-224</h4> </header> <div class="mr-1 flex items-center overflow-hidden whitespace-nowrap text-sm leading-tight text-gray-400"> <svg class="mr-1.5 text-[.8rem]" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><polygon points="4 20 4 22 8.586 22 2 28.586 3.414 30 10 23.414 10 28 12 28 12 20 4 20"></polygon><path d="M19,14a3,3,0,1,0-3-3A3,3,0,0,0,19,14Zm0-4a1,1,0,1,1-1,1A1,1,0,0,1,19,10Z"></path><path d="M26,4H6A2,2,0,0,0,4,6V16H6V6H26V21.17l-3.59-3.59a2,2,0,0,0-2.82,0L18,19.17,11.8308,13l-1.4151,1.4155L14,18l2.59,2.59a2,2,0,0,0,2.82,0L21,19l5,5v2H16v2H26a2,2,0,0,0,2-2V6A2,2,0,0,0,26,4Z"></path></svg> Image Classification <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <span class="truncate">Updated <time datetime="2023-09-05T15:27:12" title="Tue, 05 Sep 2023 15:27:12 GMT">Sep 5, 2023</time></span> <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 32 32"><path fill="currentColor" d="M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"></path></svg> 3.73M <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" class="text-orange-300 dark:text-gray-400 -mx-[2px]" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path d="M11 15H6l7-14v8h5l-7 14v-8z" fill="currentColor"></path></svg> <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32" fill="currentColor"><path d="M22.45,6a5.47,5.47,0,0,1,3.91,1.64,5.7,5.7,0,0,1,0,8L16,26.13,5.64,15.64a5.7,5.7,0,0,1,0-8,5.48,5.48,0,0,1,7.82,0L16,10.24l2.53-2.58A5.44,5.44,0,0,1,22.45,6m0-2a7.47,7.47,0,0,0-5.34,2.24L16,7.36,14.89,6.24a7.49,7.49,0,0,0-10.68,0,7.72,7.72,0,0,0,0,10.82L16,29,27.79,17.06a7.72,7.72,0,0,0,0-10.82A7.49,7.49,0,0,0,22.45,4Z"></path></svg> 690 </div></div> </a></article></div> <p class="flex-none text-sm italic text-gray-400"><span class="mr-1 rounded bg-gray-100 px-1 font-mono text-xs font-semibold not-italic text-gray-500 dark:bg-gray-800">Note</span> A strong image classification model. </p> </div><div><div class="mb-2 overflow-hidden"><article class="overview-card-wrapper group/repo "><a class="flex items-center justify-between gap-4 p-2" href="/facebook/deit-base-distilled-patch16-224"><div class="w-full truncate"><header class="flex items-center mb-0.5" title="facebook/deit-base-distilled-patch16-224"> <img alt="" class="w-3.5 h-3.5 rounded mr-1.5 flex-none flex-none" src="https://cdn-avatars.huggingface.co/v1/production/uploads/1592839207516-noauth.png" crossorigin="anonymous"> <h4 class="text-md truncate font-mono text-black dark:group-hover/repo:text-yellow-500 group-hover/repo:text-indigo-600 text-smd">facebook/deit-base-distilled-patch16-224</h4> </header> <div class="mr-1 flex items-center overflow-hidden whitespace-nowrap text-sm leading-tight text-gray-400"> <svg class="mr-1.5 text-[.8rem]" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><polygon points="4 20 4 22 8.586 22 2 28.586 3.414 30 10 23.414 10 28 12 28 12 20 4 20"></polygon><path d="M19,14a3,3,0,1,0-3-3A3,3,0,0,0,19,14Zm0-4a1,1,0,1,1-1,1A1,1,0,0,1,19,10Z"></path><path d="M26,4H6A2,2,0,0,0,4,6V16H6V6H26V21.17l-3.59-3.59a2,2,0,0,0-2.82,0L18,19.17,11.8308,13l-1.4151,1.4155L14,18l2.59,2.59a2,2,0,0,0,2.82,0L21,19l5,5v2H16v2H26a2,2,0,0,0,2-2V6A2,2,0,0,0,26,4Z"></path></svg> Image Classification <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <span class="truncate">Updated <time datetime="2022-07-13T11:39:38" title="Wed, 13 Jul 2022 11:39:38 GMT">Jul 13, 2022</time></span> <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 32 32"><path fill="currentColor" d="M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"></path></svg> 18.3k <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32" fill="currentColor"><path d="M22.45,6a5.47,5.47,0,0,1,3.91,1.64,5.7,5.7,0,0,1,0,8L16,26.13,5.64,15.64a5.7,5.7,0,0,1,0-8,5.48,5.48,0,0,1,7.82,0L16,10.24l2.53-2.58A5.44,5.44,0,0,1,22.45,6m0-2a7.47,7.47,0,0,0-5.34,2.24L16,7.36,14.89,6.24a7.49,7.49,0,0,0-10.68,0,7.72,7.72,0,0,0,0,10.82L16,29,27.79,17.06a7.72,7.72,0,0,0,0-10.82A7.49,7.49,0,0,0,22.45,4Z"></path></svg> 23 </div></div> </a></article></div> <p class="flex-none text-sm italic text-gray-400"><span class="mr-1 rounded bg-gray-100 px-1 font-mono text-xs font-semibold not-italic text-gray-500 dark:bg-gray-800">Note</span> A robust image classification model. </p> </div><div><div class="mb-2 overflow-hidden"><article class="overview-card-wrapper group/repo "><a class="flex items-center justify-between gap-4 p-2" href="/facebook/convnext-large-224"><div class="w-full truncate"><header class="flex items-center mb-0.5" title="facebook/convnext-large-224"> <img alt="" class="w-3.5 h-3.5 rounded mr-1.5 flex-none flex-none" src="https://cdn-avatars.huggingface.co/v1/production/uploads/1592839207516-noauth.png" crossorigin="anonymous"> <h4 class="text-md truncate font-mono text-black dark:group-hover/repo:text-yellow-500 group-hover/repo:text-indigo-600 text-smd">facebook/convnext-large-224</h4> </header> <div class="mr-1 flex items-center overflow-hidden whitespace-nowrap text-sm leading-tight text-gray-400"> <svg class="mr-1.5 text-[.8rem]" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><polygon points="4 20 4 22 8.586 22 2 28.586 3.414 30 10 23.414 10 28 12 28 12 20 4 20"></polygon><path d="M19,14a3,3,0,1,0-3-3A3,3,0,0,0,19,14Zm0-4a1,1,0,1,1-1,1A1,1,0,0,1,19,10Z"></path><path d="M26,4H6A2,2,0,0,0,4,6V16H6V6H26V21.17l-3.59-3.59a2,2,0,0,0-2.82,0L18,19.17,11.8308,13l-1.4151,1.4155L14,18l2.59,2.59a2,2,0,0,0,2.82,0L21,19l5,5v2H16v2H26a2,2,0,0,0,2-2V6A2,2,0,0,0,26,4Z"></path></svg> Image Classification <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <span class="truncate">Updated <time datetime="2023-06-13T19:39:50" title="Tue, 13 Jun 2023 19:39:50 GMT">Jun 13, 2023</time></span> <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-0.5" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" viewBox="0 0 32 32"><path fill="currentColor" d="M26 24v4H6v-4H4v4a2 2 0 0 0 2 2h20a2 2 0 0 0 2-2v-4zm0-10l-1.41-1.41L17 20.17V2h-2v18.17l-7.59-7.58L6 14l10 10l10-10z"></path></svg> 4k <span class="px-1.5 text-gray-300 dark:text-gray-500">• </span> <svg class="flex-none w-3 text-gray-400 mr-1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32" fill="currentColor"><path d="M22.45,6a5.47,5.47,0,0,1,3.91,1.64,5.7,5.7,0,0,1,0,8L16,26.13,5.64,15.64a5.7,5.7,0,0,1,0-8,5.48,5.48,0,0,1,7.82,0L16,10.24l2.53-2.58A5.44,5.44,0,0,1,22.45,6m0-2a7.47,7.47,0,0,0-5.34,2.24L16,7.36,14.89,6.24a7.49,7.49,0,0,0-10.68,0,7.72,7.72,0,0,0,0,10.82L16,29,27.79,17.06a7.72,7.72,0,0,0,0-10.82A7.49,7.49,0,0,0,22.45,4Z"></path></svg> 25 </div></div> </a></article></div> <p class="flex-none text-sm italic text-gray-400"><span class="mr-1 rounded bg-gray-100 px-1 font-mono text-xs font-semibold not-italic text-gray-500 dark:bg-gray-800">Note</span> A strong image classification model. </p> </div></div> </section> <section class="shadow-alternate-sm rounded-xl border border-gray-100 px-4 pb-4 pt-3 "><div class="mb-1.5 flex items-center whitespace-nowrap font-semibold text-gray-800 lg:text-lg"><svg class="mr-1.5 flex-none text-red-400" style="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 25 25"><ellipse cx="12.5" cy="5" fill="currentColor" fill-opacity="0.25" rx="7.5" ry="2"></ellipse><path d="M12.5 15C16.6421 15 20 14.1046 20 13V20C20 21.1046 16.6421 22 12.5 22C8.35786 22 5 21.1046 5 20V13C5 14.1046 8.35786 15 12.5 15Z" fill="currentColor" opacity="0.5"></path><path d="M12.5 7C16.6421 7 20 6.10457 20 5V11.5C20 12.6046 16.6421 13.5 12.5 13.5C8.35786 13.5 5 12.6046 5 11.5V5C5 6.10457 8.35786 7 12.5 7Z" fill="currentColor" opacity="0.5"></path><path d="M5.23628 12C5.08204 12.1598 5 12.8273 5 13C5 14.1046 8.35786 15 12.5 15C16.6421 15 20 14.1046 20 13C20 12.8273 19.918 12.1598 19.7637 12C18.9311 12.8626 15.9947 13.5 12.5 13.5C9.0053 13.5 6.06886 12.8626 5.23628 12Z" fill="currentColor"></path></svg> <div class="truncate">Datasets for Image Classification</div> <a class="btn ml-4 text-sm font-normal" href="/datasets?task_categories=task_categories:image-classification">Browse Datasets (1,188)</a> </div> <p class="mb-2 text-gray-500">No example dataset is defined for this task.</p> <p class="flex-none text-sm italic text-gray-400"><span class="mr-1 rounded bg-gray-100 px-1 font-mono text-xs font-semibold not-italic text-gray-500 dark:bg-gray-800">Note</span> Contribute by proposing a dataset for this task !</p> </section> <section class="shadow-alternate-sm rounded-xl border border-gray-100 px-4 pb-4 pt-3 "><div class="mb-1.5 flex items-center whitespace-nowrap font-semibold text-gray-800 lg:text-lg"><svg class="mr-1.5 flex-none " xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M7.80914 18.7462V24.1907H13.2536V18.7462H7.80914Z" fill="#FF3270"></path><path d="M18.7458 18.7462V24.1907H24.1903V18.7462H18.7458Z" fill="#861FFF"></path><path d="M7.80914 7.80982V13.2543H13.2536V7.80982H7.80914Z" fill="#097EFF"></path><path fill-rule="evenodd" clip-rule="evenodd" d="M4 6.41775C4 5.08246 5.08246 4 6.41775 4H14.6457C15.7626 4 16.7026 4.75724 16.9802 5.78629C18.1505 4.67902 19.7302 4 21.4685 4C25.0758 4 28.0003 6.92436 28.0003 10.5317C28.0003 12.27 27.3212 13.8497 26.2139 15.02C27.243 15.2977 28.0003 16.2376 28.0003 17.3545V25.5824C28.0003 26.9177 26.9177 28.0003 25.5824 28.0003H17.0635H14.9367H6.41775C5.08246 28.0003 4 26.9177 4 25.5824V15.1587V14.9367V6.41775ZM7.80952 7.80952V13.254H13.254V7.80952H7.80952ZM7.80952 24.1907V18.7462H13.254V24.1907H7.80952ZM18.7462 24.1907V18.7462H24.1907V24.1907H18.7462ZM18.7462 10.5317C18.7462 9.0283 19.9651 7.80952 21.4685 7.80952C22.9719 7.80952 24.1907 9.0283 24.1907 10.5317C24.1907 12.0352 22.9719 13.254 21.4685 13.254C19.9651 13.254 18.7462 12.0352 18.7462 10.5317Z" fill="black"></path><path d="M21.4681 7.80982C19.9647 7.80982 18.7458 9.02861 18.7458 10.5321C18.7458 12.0355 19.9647 13.2543 21.4681 13.2543C22.9715 13.2543 24.1903 12.0355 24.1903 10.5321C24.1903 9.02861 22.9715 7.80982 21.4681 7.80982Z" fill="#FFD702"></path></svg> Spaces using Image Classification </div> <div class="mt-3 space-y-3"><div><div class="mb-2"><a href="/spaces/nielsr/perceiver-image-classification" class="flex min-w-0 items-center whitespace-nowrap rounded-lg border border-gray-100 px-2 text-xs leading-relaxed text-gray-500 shadow-sm hover:text-gray-800 dark:hover:text-gray-200 md:text-sm md:leading-relaxed inline-flex"><div class="mr-2 flex-none text-[0.6rem]">📈</div> <div class="truncate group-hover:underline">nielsr/perceiver-image-classification</div></a></div> <p class="flex-none text-sm italic text-gray-400"><span class="mr-1 rounded bg-gray-100 px-1 font-mono text-xs font-semibold not-italic text-gray-500 dark:bg-gray-800">Note</span> An application that classifies what a given image is about. </p> </div></div> </section> <section class="shadow-alternate-sm rounded-xl border border-gray-100 px-4 pb-4 pt-3 "><div class="mb-1.5 flex items-center whitespace-nowrap font-semibold text-gray-800 lg:text-lg"><svg class="mr-1.5 flex-none text-green-400" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><path class="uim-quaternary" d="M6 23H2a1 1 0 0 1-1-1v-8a1 1 0 0 1 1-1h4a1 1 0 0 1 1 1v8a1 1 0 0 1-1 1z" opacity=".25" fill="currentColor"></path><path class="uim-primary" d="M14 23h-4a1 1 0 0 1-1-1V2a1 1 0 0 1 1-1h4a1 1 0 0 1 1 1v20a1 1 0 0 1-1 1z" fill="currentColor"></path><path class="uim-tertiary" d="M22 23h-4a1 1 0 0 1-1-1V10a1 1 0 0 1 1-1h4a1 1 0 0 1 1 1v12a1 1 0 0 1-1 1z" opacity=".5" fill="currentColor"></path></svg> Metrics for Image Classification </div> <div class="mt-3 space-y-3"><dl class="flex items-center rounded-lg border border-gray-100"><details class="flex-1"><summary class="cursor-pointer p-3"><dt class="inline-flex cursor-pointer items-center font-semibold text-gray-800">accuracy </dt></summary> <dd class="px-3 pb-3 text-gray-500">Accuracy is the proportion of correct predictions among the total number of cases processed. It can be computed with: Accuracy = (TP + TN) / (TP + TN + FP + FN) Where: TP: True positive TN: True negative FP: False positive FN: False negative</dd> </details></dl><dl class="flex items-center rounded-lg border border-gray-100"><details class="flex-1"><summary class="cursor-pointer p-3"><dt class="inline-flex cursor-pointer items-center font-semibold text-gray-800">recall </dt></summary> <dd class="px-3 pb-3 text-gray-500">Recall is the fraction of the positive examples that were correctly labeled by the model as positive. It can be computed with the equation: Recall = TP / (TP + FN) Where TP is the true positives and FN is the false negatives.</dd> </details></dl><dl class="flex items-center rounded-lg border border-gray-100"><details class="flex-1"><summary class="cursor-pointer p-3"><dt class="inline-flex cursor-pointer items-center font-semibold text-gray-800">precision </dt></summary> <dd class="px-3 pb-3 text-gray-500">Precision is the fraction of correctly labeled positive examples out of all of the examples that were labeled as positive. It is computed via the equation: Precision = TP / (TP + FP) where TP is the True positives (i.e. the examples correctly labeled as positive) and FP is the False positive examples (i.e. the examples incorrectly labeled as positive).</dd> </details></dl><dl class="flex items-center rounded-lg border border-gray-100"><details class="flex-1"><summary class="cursor-pointer p-3"><dt class="inline-flex cursor-pointer items-center font-semibold text-gray-800">f1 </dt></summary> <dd class="px-3 pb-3 text-gray-500">The F1 score is the harmonic mean of the precision and recall. It can be computed with the equation: F1 = 2 * (precision * recall) / (precision + recall)</dd> </details></dl></div> </section></div></div></main> <footer class="b-12 mb-2 flex border-t border-gray-100 md:h-14"><nav class="container flex flex-col justify-between space-y-2 py-6 text-gray-500 md:flex-row md:items-center md:space-y-0 md:py-0 md:text-sm"><div class="font-semibold text-black md:hidden">Company</div> <div class="order-last pt-6 text-gray-400 md:order-none md:pt-0" href="Terms">© Hugging Face</div> <a class="hover:underline" href="/terms-of-service">TOS</a> <a class="hover:underline" href="/privacy">Privacy</a> <a class="hover:underline" href="/huggingface">About</a> <a class="hover:underline" href="https://apply.workable.com/huggingface/">Jobs</a> <a href="/" class="group order-first flex-none pb-6 md:order-none md:pb-0"><svg class="h-7 w-7 transition-transform group-hover:-translate-y-px" viewBox="0 0 95 88" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M47.2119 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