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AI数据的保存和标注平台
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dependabot[bot] bc079c3129
Bump tensorflow from 2.8.1 to 2.9.3 in /cvat/requirements (#5338) 
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.8.1
to 2.9.3.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/tensorflow/tensorflow/releases">tensorflow's
releases</a>.</em></p>
<blockquote>
<h2>TensorFlow 2.9.3</h2>
<h1>Release 2.9.3</h1>
<p>This release introduces several vulnerability fixes:</p>
<ul>
<li>Fixes an overflow in <code>tf.keras.losses.poisson</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41887">CVE-2022-41887</a>)</li>
<li>Fixes a heap OOB failure in
<code>ThreadUnsafeUnigramCandidateSampler</code> caused by missing
validation (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41880">CVE-2022-41880</a>)</li>
<li>Fixes a segfault in <code>ndarray_tensor_bridge</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41884">CVE-2022-41884</a>)</li>
<li>Fixes an overflow in <code>FusedResizeAndPadConv2D</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41885">CVE-2022-41885</a>)</li>
<li>Fixes a overflow in <code>ImageProjectiveTransformV2</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41886">CVE-2022-41886</a>)</li>
<li>Fixes an FPE in
<code>tf.image.generate_bounding_box_proposals</code> on GPU (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41888">CVE-2022-41888</a>)</li>
<li>Fixes a segfault in <code>pywrap_tfe_src</code> caused by invalid
attributes (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41889">CVE-2022-41889</a>)</li>
<li>Fixes a <code>CHECK</code> fail in <code>BCast</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41890">CVE-2022-41890</a>)</li>
<li>Fixes a segfault in <code>TensorListConcat</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41891">CVE-2022-41891</a>)</li>
<li>Fixes a <code>CHECK_EQ</code> fail in <code>TensorListResize</code>
(<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41893">CVE-2022-41893</a>)</li>
<li>Fixes an overflow in <code>CONV_3D_TRANSPOSE</code> on TFLite (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41894">CVE-2022-41894</a>)</li>
<li>Fixes a heap OOB in <code>MirrorPadGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41895">CVE-2022-41895</a>)</li>
<li>Fixes a crash in <code>Mfcc</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41896">CVE-2022-41896</a>)</li>
<li>Fixes a heap OOB in <code>FractionalMaxPoolGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41897">CVE-2022-41897</a>)</li>
<li>Fixes a <code>CHECK</code> fail in
<code>SparseFillEmptyRowsGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41898">CVE-2022-41898</a>)</li>
<li>Fixes a <code>CHECK</code> fail in <code>SdcaOptimizer</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41899">CVE-2022-41899</a>)</li>
<li>Fixes a heap OOB in <code>FractionalAvgPool</code> and
<code>FractionalMaxPool</code>(<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41900">CVE-2022-41900</a>)</li>
<li>Fixes a <code>CHECK_EQ</code> in <code>SparseMatrixNNZ</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41901">CVE-2022-41901</a>)</li>
<li>Fixes an OOB write in grappler (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41902">CVE-2022-41902</a>)</li>
<li>Fixes a overflow in <code>ResizeNearestNeighborGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41907">CVE-2022-41907</a>)</li>
<li>Fixes a <code>CHECK</code> fail in <code>PyFunc</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41908">CVE-2022-41908</a>)</li>
<li>Fixes a segfault in <code>CompositeTensorVariantToComponents</code>
(<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41909">CVE-2022-41909</a>)</li>
<li>Fixes a invalid char to bool conversion in printing a tensor (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41911">CVE-2022-41911</a>)</li>
<li>Fixes a heap overflow in <code>QuantizeAndDequantizeV2</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41910">CVE-2022-41910</a>)</li>
<li>Fixes a <code>CHECK</code> failure in <code>SobolSample</code> via
missing validation (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35935">CVE-2022-35935</a>)</li>
<li>Fixes a <code>CHECK</code> fail in <code>TensorListScatter</code>
and <code>TensorListScatterV2</code> in eager mode (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35935">CVE-2022-35935</a>)</li>
</ul>
<h2>TensorFlow 2.9.2</h2>
<h1>Release 2.9.2</h1>
<p>This releases introduces several vulnerability fixes:</p>
<ul>
<li>Fixes a <code>CHECK</code> failure in tf.reshape caused by overflows
(<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35934">CVE-2022-35934</a>)</li>
<li>Fixes a <code>CHECK</code> failure in <code>SobolSample</code>
caused by missing validation (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35935">CVE-2022-35935</a>)</li>
<li>Fixes an OOB read in <code>Gather_nd</code> op in TF Lite (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35937">CVE-2022-35937</a>)</li>
<li>Fixes a <code>CHECK</code> failure in <code>TensorListReserve</code>
caused by missing validation (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35960">CVE-2022-35960</a>)</li>
<li>Fixes an OOB write in <code>Scatter_nd</code> op in TF Lite (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35939">CVE-2022-35939</a>)</li>
<li>Fixes an integer overflow in <code>RaggedRangeOp</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35940">CVE-2022-35940</a>)</li>
<li>Fixes a <code>CHECK</code> failure in <code>AvgPoolOp</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35941">CVE-2022-35941</a>)</li>
<li>Fixes a <code>CHECK</code> failures in <code>UnbatchGradOp</code>
(<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35952">CVE-2022-35952</a>)</li>
<li>Fixes a segfault TFLite converter on per-channel quantized
transposed convolutions (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-36027">CVE-2022-36027</a>)</li>
<li>Fixes a <code>CHECK</code> failures in <code>AvgPool3DGrad</code>
(<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35959">CVE-2022-35959</a>)</li>
<li>Fixes a <code>CHECK</code> failures in
<code>FractionalAvgPoolGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35963">CVE-2022-35963</a>)</li>
<li>Fixes a segfault in <code>BlockLSTMGradV2</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35964">CVE-2022-35964</a>)</li>
<li>Fixes a segfault in <code>LowerBound</code> and
<code>UpperBound</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35965">CVE-2022-35965</a>)</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md">tensorflow's
changelog</a>.</em></p>
<blockquote>
<h1>Release 2.9.3</h1>
<p>This release introduces several vulnerability fixes:</p>
<ul>
<li>Fixes an overflow in <code>tf.keras.losses.poisson</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41887">CVE-2022-41887</a>)</li>
<li>Fixes a heap OOB failure in
<code>ThreadUnsafeUnigramCandidateSampler</code> caused by missing
validation (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41880">CVE-2022-41880</a>)</li>
<li>Fixes a segfault in <code>ndarray_tensor_bridge</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41884">CVE-2022-41884</a>)</li>
<li>Fixes an overflow in <code>FusedResizeAndPadConv2D</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41885">CVE-2022-41885</a>)</li>
<li>Fixes a overflow in <code>ImageProjectiveTransformV2</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41886">CVE-2022-41886</a>)</li>
<li>Fixes an FPE in
<code>tf.image.generate_bounding_box_proposals</code> on GPU (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41888">CVE-2022-41888</a>)</li>
<li>Fixes a segfault in <code>pywrap_tfe_src</code> caused by invalid
attributes (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41889">CVE-2022-41889</a>)</li>
<li>Fixes a <code>CHECK</code> fail in <code>BCast</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41890">CVE-2022-41890</a>)</li>
<li>Fixes a segfault in <code>TensorListConcat</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41891">CVE-2022-41891</a>)</li>
<li>Fixes a <code>CHECK_EQ</code> fail in <code>TensorListResize</code>
(<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41893">CVE-2022-41893</a>)</li>
<li>Fixes an overflow in <code>CONV_3D_TRANSPOSE</code> on TFLite (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41894">CVE-2022-41894</a>)</li>
<li>Fixes a heap OOB in <code>MirrorPadGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41895">CVE-2022-41895</a>)</li>
<li>Fixes a crash in <code>Mfcc</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41896">CVE-2022-41896</a>)</li>
<li>Fixes a heap OOB in <code>FractionalMaxPoolGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41897">CVE-2022-41897</a>)</li>
<li>Fixes a <code>CHECK</code> fail in
<code>SparseFillEmptyRowsGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41898">CVE-2022-41898</a>)</li>
<li>Fixes a <code>CHECK</code> fail in <code>SdcaOptimizer</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41899">CVE-2022-41899</a>)</li>
<li>Fixes a heap OOB in <code>FractionalAvgPool</code> and
<code>FractionalMaxPool</code>(<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41900">CVE-2022-41900</a>)</li>
<li>Fixes a <code>CHECK_EQ</code> in <code>SparseMatrixNNZ</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41901">CVE-2022-41901</a>)</li>
<li>Fixes an OOB write in grappler (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41902">CVE-2022-41902</a>)</li>
<li>Fixes a overflow in <code>ResizeNearestNeighborGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41907">CVE-2022-41907</a>)</li>
<li>Fixes a <code>CHECK</code> fail in <code>PyFunc</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41908">CVE-2022-41908</a>)</li>
<li>Fixes a segfault in <code>CompositeTensorVariantToComponents</code>
(<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41909">CVE-2022-41909</a>)</li>
<li>Fixes a invalid char to bool conversion in printing a tensor (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41911">CVE-2022-41911</a>)</li>
<li>Fixes a heap overflow in <code>QuantizeAndDequantizeV2</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41910">CVE-2022-41910</a>)</li>
<li>Fixes a <code>CHECK</code> failure in <code>SobolSample</code> via
missing validation (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35935">CVE-2022-35935</a>)</li>
<li>Fixes a <code>CHECK</code> fail in <code>TensorListScatter</code>
and <code>TensorListScatterV2</code> in eager mode (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35935">CVE-2022-35935</a>)</li>
</ul>
<h1>Release 2.8.4</h1>
<p>This release introduces several vulnerability fixes:</p>
<ul>
<li>Fixes a heap OOB failure in
<code>ThreadUnsafeUnigramCandidateSampler</code> caused by missing
validation (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41880">CVE-2022-41880</a>)</li>
<li>Fixes a segfault in <code>ndarray_tensor_bridge</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41884">CVE-2022-41884</a>)</li>
<li>Fixes an overflow in <code>FusedResizeAndPadConv2D</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41885">CVE-2022-41885</a>)</li>
<li>Fixes a overflow in <code>ImageProjectiveTransformV2</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41886">CVE-2022-41886</a>)</li>
<li>Fixes an FPE in
<code>tf.image.generate_bounding_box_proposals</code> on GPU (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41888">CVE-2022-41888</a>)</li>
<li>Fixes a segfault in <code>pywrap_tfe_src</code> caused by invalid
attributes (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41889">CVE-2022-41889</a>)</li>
<li>Fixes a <code>CHECK</code> fail in <code>BCast</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41890">CVE-2022-41890</a>)</li>
<li>Fixes a segfault in <code>TensorListConcat</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41891">CVE-2022-41891</a>)</li>
<li>Fixes a <code>CHECK_EQ</code> fail in <code>TensorListResize</code>
(<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41893">CVE-2022-41893</a>)</li>
<li>Fixes an overflow in <code>CONV_3D_TRANSPOSE</code> on TFLite (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41894">CVE-2022-41894</a>)</li>
<li>Fixes a heap OOB in <code>MirrorPadGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41895">CVE-2022-41895</a>)</li>
<li>Fixes a crash in <code>Mfcc</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41896">CVE-2022-41896</a>)</li>
<li>Fixes a heap OOB in <code>FractionalMaxPoolGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41897">CVE-2022-41897</a>)</li>
<li>Fixes a <code>CHECK</code> fail in
<code>SparseFillEmptyRowsGrad</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41898">CVE-2022-41898</a>)</li>
<li>Fixes a <code>CHECK</code> fail in <code>SdcaOptimizer</code> (<a
href="https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-41899">CVE-2022-41899</a>)</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="a5ed5f39b6"><code>a5ed5f3</code></a>
Merge pull request <a
href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/58584">#58584</a>
from tensorflow/vinila21-patch-2</li>
<li><a
href="258f9a1251"><code>258f9a1</code></a>
Update py_func.cc</li>
<li><a
href="cd27cfb438"><code>cd27cfb</code></a>
Merge pull request <a
href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/58580">#58580</a>
from tensorflow-jenkins/version-numbers-2.9.3-24474</li>
<li><a
href="3e75385ee6"><code>3e75385</code></a>
Update version numbers to 2.9.3</li>
<li><a
href="bc72c39774"><code>bc72c39</code></a>
Merge pull request <a
href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/58482">#58482</a>
from tensorflow-jenkins/relnotes-2.9.3-25695</li>
<li><a
href="3506c90f5a"><code>3506c90</code></a>
Update RELEASE.md</li>
<li><a
href="8dcb48e384"><code>8dcb48e</code></a>
Update RELEASE.md</li>
<li><a
href="4f34ec8499"><code>4f34ec8</code></a>
Merge pull request <a
href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/58576">#58576</a>
from pak-laura/c2.99f03a9d3bafe902c1e6beb105b2f2417...</li>
<li><a
href="6fc67e408f"><code>6fc67e4</code></a>
Replace CHECK with returning an InternalError on failing to create
python tuple</li>
<li><a
href="5dbe90ad21"><code>5dbe90a</code></a>
Merge pull request <a
href="https://github-redirect.dependabot.com/tensorflow/tensorflow/issues/58570">#58570</a>
from tensorflow/r2.9-7b174a0f2e4</li>
<li>Additional commits viewable in <a
href="https://github.com/tensorflow/tensorflow/compare/v2.8.1...v2.9.3">compare
view</a></li>
</ul>
</details>
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README.md

CVAT logo

Computer Vision Annotation Tool (CVAT)

CVAT – Computer Vision Annotation Tool - The open data annotation platform for AI | Product Hunt

CI Gitter chat Discord Coverage Status server pulls ui pulls DOI

CVAT is an interactive video and image annotation tool for computer vision. It is used by tens of thousands of users and companies around the world. CVAT is free and open-source.

A new repo: CVAT core team moved the active development of the tool to this new repository. Our mission is to help developers, companies and organizations around the world to solve real problems using the Data-centric AI approach.

Start using CVAT online for free: cvat.ai. Or set it up as a self-hosted solution: read here.

CVAT screencast

Quick start ⚡

Partners ❤️

CVAT is used by teams all over the world. In the list you can find key companies which help us support the product or an essensial part of our ecosystem. If you use us, please drop us a line at contact@cvat.ai.

  • Human Protocol uses CVAT as a way of adding annotation service to the Human Protocol.
  • FiftyOne is an open-source dataset curation and model analysis tool for visualizing, exploring, and improving computer vision datasets and models that is tightly integrated with CVAT for annotation and label refinement.

Public datasets

CVAT online: cvat.ai

This is an online version of CVAT. It's free, efficient, and easy to use.

cvat.ai runs the latest version of the tool. You can create up to 10 tasks there and upload up to 500Mb of data to annotate. It will only be visible to you or people you assign to it.

For now, it does not have analytics features like management and monitoring the data annotation team.

We plan to enhance cvat.ai with new powerful features. Stay tuned!

Prebuilt Docker images 🐳

Prebuilt docker images are the easiest way to start using CVAT locally. They are available on Docker Hub:

The images have been downloaded more than 1M times so far.

Screencasts 🎦

Here are some screencasts showing how to use CVAT.

API

SDK

CLI

Supported annotation formats

CVAT supports multiple annotation formats. You can select the format after clicking the "Upload annotation" and "Dump annotation" buttons. Datumaro dataset framework allows additional dataset transformations via its command line tool and Python library.

For more information about the supported formats, look at the documentation.

Annotation format Import Export
CVAT for images ✔️ ✔️
CVAT for a video ✔️ ✔️
Datumaro ✔️ ✔️
PASCAL VOC ✔️ ✔️
Segmentation masks from PASCAL VOC ✔️ ✔️
YOLO ✔️ ✔️
MS COCO Object Detection ✔️ ✔️
MS COCO Keypoints Detection ✔️ ✔️
TFrecord ✔️ ✔️
MOT ✔️ ✔️
MOTS PNG ✔️ ✔️
LabelMe 3.0 ✔️ ✔️
ImageNet ✔️ ✔️
CamVid ✔️ ✔️
WIDER Face ✔️ ✔️
VGGFace2 ✔️ ✔️
Market-1501 ✔️ ✔️
ICDAR13/15 ✔️ ✔️
Open Images V6 ✔️ ✔️
Cityscapes ✔️ ✔️
KITTI ✔️ ✔️
Kitti Raw Format ✔️ ✔️
LFW ✔️ ✔️
Supervisely Point Cloud Format ✔️ ✔️

Deep learning serverless functions for automatic labeling

CVAT supports automatic labelling. It can speed up the annotation process up to 10x. Here is a list of the algorithms we support, and the platforms they can be ran on:

Name Type Framework CPU GPU
Deep Extreme Cut interactor OpenVINO ✔️
Faster RCNN detector OpenVINO ✔️
Mask RCNN detector OpenVINO ✔️
YOLO v3 detector OpenVINO ✔️
Object reidentification reid OpenVINO ✔️
Semantic segmentation for ADAS detector OpenVINO ✔️
Text detection v4 detector OpenVINO ✔️
YOLO v5 detector PyTorch ✔️
SiamMask tracker PyTorch ✔️ ✔️
TransT tracker PyTorch ✔️ ✔️
f-BRS interactor PyTorch ✔️
HRNet interactor PyTorch ✔️
Inside-Outside Guidance interactor PyTorch ✔️
Faster RCNN detector TensorFlow ✔️ ✔️
Mask RCNN detector TensorFlow ✔️ ✔️
RetinaNet detector PyTorch ✔️ ✔️
Face Detection detector OpenVINO ✔️

License

The code is released under the MIT License.

This software uses LGPL licensed libraries from the FFmpeg project. The exact steps on how FFmpeg was configured and compiled can be found in the Dockerfile.

FFmpeg is an open source framework licensed under LGPL and GPL. See https://www.ffmpeg.org/legal.html. You are solely responsible for determining if your use of FFmpeg requires any additional licenses. CVAT.ai Corporation is not responsible for obtaining any such licenses, nor liable for any licensing fees due in connection with your use of FFmpeg.

Where to ask questions

Gitter chat: you can post CVAT usage related questions there. Typically they get answered fast by the core team or community. There you can also browse other common questions.

Discord is the place to also ask questions or discuss any other stuff related to CVAT.

GitHub issues: please post them for feature requests or bug reports. If it's a bug, please add the steps to reproduce it.

#cvat tag on StackOverflow is one more way to ask questions and get our support.

contact@cvat.ai: reach out to us with feedback, comments, or inquiries.

Links