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	<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Object Detection","local":"object-detection","sections":[{"title":"Preparing your data","local":"preparing-your-data","sections":[{"title":"Organizing Images","local":"organizing-images","sections":[],"depth":3},{"title":"Image Requirements","local":"image-requirements","sections":[],"depth":3}],"depth":2}],"depth":1}">
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	<link rel="modulepreload" href="/docs/autotrain/pr_749/en/_app/immutable/chunks/EditOnGithub.48fa589f.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Object Detection","local":"object-detection","sections":[{"title":"Preparing your data","local":"preparing-your-data","sections":[{"title":"Organizing Images","local":"organizing-images","sections":[],"depth":3},{"title":"Image Requirements","local":"image-requirements","sections":[],"depth":3}],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="object-detection" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#object-detection"><span><svg class="" 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>Object Detection</span></h1> <p data-svelte-h="svelte-cqg7j8">Object detection is a form of supervised learning where a model is trained to identify
	and categorize objects within images. AutoTrain simplifies the process, enabling you to
	train a state-of-the-art object detection model by simply uploading labeled example images.</p> <h2 class="relative group"><a id="preparing-your-data" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#preparing-your-data"><span><svg class="" 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>Preparing your data</span></h2> <p data-svelte-h="svelte-1au28mb">To ensure your object detection model trains effectively, follow these guidelines for preparing your data:</p> <h3 class="relative group"><a id="organizing-images" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#organizing-images"><span><svg class="" 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>Organizing Images</span></h3> <p data-svelte-h="svelte-1lchn16">Prepare a zip file containing your images and metadata.jsonl.</p> <div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->Archive<span class="hljs-selector-class">.zip</span>
	├── <span class="hljs-number">0001</span><span class="hljs-selector-class">.png</span>
	├── <span class="hljs-number">0002</span><span class="hljs-selector-class">.png</span>
	├── <span class="hljs-number">0003</span><span class="hljs-selector-class">.png</span>
	├── .
	├── .
	├── .
	└── metadata.jsonl<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-tf2o7l">Example for <code>metadata.jsonl</code>:</p> <div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->{<span class="hljs-string">"file_name"</span>: <span class="hljs-string">"0001.png"</span>, <span class="hljs-string">"objects"</span>: {<span class="hljs-string">"bbox"</span>: <span class="hljs-string">[[302.0, 109.0, 73.0, 52.0]]</span>, <span class="hljs-string">"category"</span>: [<span class="hljs-number">0</span>]}}
	{<span class="hljs-string">"file_name"</span>: <span class="hljs-string">"0002.png"</span>, <span class="hljs-string">"objects"</span>: {<span class="hljs-string">"bbox"</span>: <span class="hljs-string">[[810.0, 100.0, 57.0, 28.0]]</span>, <span class="hljs-string">"category"</span>: [<span class="hljs-number">1</span>]}}
	{<span class="hljs-string">"file_name"</span>: <span class="hljs-string">"0003.png"</span>, <span class="hljs-string">"objects"</span>: {<span class="hljs-string">"bbox"</span>: <span class="hljs-string">[[160.0, 31.0, 248.0, 616.0], [741.0, 68.0, 202.0, 401.0]]</span>, <span class="hljs-string">"category"</span>: [<span class="hljs-number">2</span>, <span class="hljs-number">2</span>]}}<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1f167dv">Please note that bboxes need to be in COCO format <code>[x, y, width, height]</code>.</p> <h3 class="relative group"><a id="image-requirements" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#image-requirements"><span><svg class="" 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 Requirements</span></h3> <ul data-svelte-h="svelte-l62fz6"><li><p>Format: Ensure all images are in JPEG, JPG, or PNG format.</p></li> <li><p>Quantity: Include at least 5 images to provide the model with sufficient examples for learning.</p></li> <li><p>Exclusivity: The zip file should exclusively contain images and metadata.jsonl.
	No additional files or nested folders should be included.</p></li></ul> <p data-svelte-h="svelte-ddxna6">Some points to keep in mind:</p> <ul data-svelte-h="svelte-1domnmt"><li>The images must be jpeg, jpg or png.</li> <li>There should be at least 5 images per split.</li> <li>There must not be any other files in the zip file.</li> <li>There must not be any other folders inside the zip folder.</li></ul> <p data-svelte-h="svelte-1f8z9wr">When train.zip is decompressed, it creates no folders: only images and metadata.jsonl.</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/autotrain-advanced/blob/main/docs/source/object_detection.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p>

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