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![CVAT logo](site/content/en/images/cvat_poster_with_name.png)
# Computer Vision Annotation Tool (CVAT)
<a href="https://www.producthunt.com/posts/cvat-computer-vision-annotation-tool?utm_source=badge-featured&utm_medium=badge&utm_souce=badge-cvat&#0045;computer&#0045;vision&#0045;annotation&#0045;tool" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=353415&theme=light" alt="CVAT&#0032;–&#0032;Computer&#0032;Vision&#0032;Annotation&#0032;Tool - The&#0032;open&#0032;data&#0032;annotation&#0032;platform&#0032;for&#0032;AI | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
[![CI][ci-img]][ci-url]
[![Gitter chat][gitter-img]][gitter-url]
[![Coverage Status][coverage-img]][coverage-url]
@ -33,7 +35,7 @@ Start using CVAT online for free: [cvat.ai](https://cvat.ai). Or set it up as a
- [XML annotation format](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/)
- [AWS Deployment Guide](https://cvat-ai.github.io/cvat/docs/administration/basics/aws-deployment-guide/)
- [Frequently asked questions](https://cvat-ai.github.io/cvat/docs/faq/)
- [Questions](#questions)
- [Where to ask questions](#where-to-ask-questions)
## Partners ❤️
@ -41,13 +43,13 @@ CVAT is used by teams all over the world. If you use us, please drop us a line a
[contact@cvat.ai](mailto:contact+github@cvat.ai) - and we'll add you to this list.
- [ATLANTIS](https://github.com/smhassanerfani/atlantis) is an open-source dataset for semantic segmentation
of waterbody images, depevoped by [iWERS](http://ce.sc.edu/iwers/) group in the
of waterbody images, depeloped by [iWERS](http://ce.sc.edu/iwers/) group in the
Department of Civil and Environmental Engineering at University of South Carolina, is using CVAT.
For developing a semantic segmentation dataset using CVAT, please check
[ATLANTIS published article](https://www.sciencedirect.com/science/article/pii/S1364815222000391),
[ATLANTIS Development Kit](https://github.com/smhassanerfani/atlantis/tree/master/adk)
and [annotation tutorial videos](https://www.youtube.com/playlist?list=PLIfLGY-zZChS5trt7Lc3MfNhab7OWl2BR).
- [Onepanel](https://github.com/onepanelio/core) is an open source
- [Onepanel](https://github.com/onepanelio/core) is an open-source
vision AI platform that fully integrates CVAT with scalable data processing
and parallelized training pipelines.
- [DataIsKey](https://dataiskey.eu/annotation-tool/) uses CVAT as their prime data labeling tool
@ -84,8 +86,8 @@ The images have been downloaded more than 1M times so far.
## REST API
CVAT has a REST API. Its current version is `2.0-alpha`. We focus on its
improvement and therefore REST API may be changed in the next release.
CVAT has a REST API: [documentation](https://cvat-ai.github.io/cvat/docs/administration/basics/rest_api_guide/).
Its current version is `2.0-alpha`. We focus on its improvement, and the API may be changed in the next releases.
## Screencasts 🎦
@ -115,26 +117,26 @@ For more information about supported formats, look at the
| Annotation format | Import | Export |
| --------------------------------------------------------------------------------------------------------- | ------ | ------ |
| [CVAT for images](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/#annotation) | X | X |
| [CVAT for a video](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/#interpolation) | X | X |
| [Datumaro](https://github.com/cvat-ai/datumaro) | | X |
| [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | X | X |
| Segmentation masks from [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | X | X |
| [YOLO](https://pjreddie.com/darknet/yolo/) | X | X |
| [MS COCO Object Detection](http://cocodataset.org/#format-data) | X | X |
| [TFrecord](https://www.tensorflow.org/tutorials/load_data/tfrecord) | X | X |
| [MOT](https://motchallenge.net/) | X | X |
| [LabelMe 3.0](http://labelme.csail.mit.edu/Release3.0) | X | X |
| [ImageNet](http://www.image-net.org) | X | X |
| [CamVid](http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/) | X | X |
| [WIDER Face](http://shuoyang1213.me/WIDERFACE/) | X | X |
| [VGGFace2](https://github.com/ox-vgg/vgg_face2) | X | X |
| [Market-1501](https://www.aitribune.com/dataset/2018051063) | X | X |
| [ICDAR13/15](https://rrc.cvc.uab.es/?ch=2) | X | X |
| [Open Images V6](https://storage.googleapis.com/openimages/web/index.html) | X | X |
| [Cityscapes](https://www.cityscapes-dataset.com/login/) | X | X |
| [KITTI](http://www.cvlibs.net/datasets/kitti/) | X | X |
| [LFW](http://vis-www.cs.umass.edu/lfw/) | X | X |
| [CVAT for images](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/#annotation) | ✔️ | ✔️ |
| [CVAT for a video](https://cvat-ai.github.io/cvat/docs/manual/advanced/xml_format/#interpolation) | ✔️ | ✔️ |
| [Datumaro](https://github.com/cvat-ai/datumaro) | | ✔️ |
| [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | ✔️ | ✔️ |
| Segmentation masks from [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | ✔️ | ✔️ |
| [YOLO](https://pjreddie.com/darknet/yolo/) | ✔️ | ✔️ |
| [MS COCO Object Detection](http://cocodataset.org/#format-data) | ✔️ | ✔️ |
| [TFrecord](https://www.tensorflow.org/tutorials/load_data/tfrecord) | ✔️ | ✔️ |
| [MOT](https://motchallenge.net/) | ✔️ | ✔️ |
| [LabelMe 3.0](http://labelme.csail.mit.edu/Release3.0) | ✔️ | ✔️ |
| [ImageNet](http://www.image-net.org) | ✔️ | ✔️ |
| [CamVid](http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/) | ✔️ | ✔️ |
| [WIDER Face](http://shuoyang1213.me/WIDERFACE/) | ✔️ | ✔️ |
| [VGGFace2](https://github.com/ox-vgg/vgg_face2) | ✔️ | ✔️ |
| [Market-1501](https://www.aitribune.com/dataset/2018051063) | ✔️ | ✔️ |
| [ICDAR13/15](https://rrc.cvc.uab.es/?ch=2) | ✔️ | ✔️ |
| [Open Images V6](https://storage.googleapis.com/openimages/web/index.html) | ✔️ | ✔️ |
| [Cityscapes](https://www.cityscapes-dataset.com/login/) | ✔️ | ✔️ |
| [KITTI](http://www.cvlibs.net/datasets/kitti/) | ✔️ | ✔️ |
| [LFW](http://vis-www.cs.umass.edu/lfw/) | ✔️ | ✔️ |
<!--lint enable maximum-line-length-->
@ -148,22 +150,22 @@ can be ran on:
| Name | Type | Framework | CPU | GPU |
| ------------------------------------------------------------------------------------------------------- | ---------- | ---------- | --- | --- |
| [Deep Extreme Cut](/serverless/openvino/dextr/nuclio) | interactor | OpenVINO | X | |
| [Faster RCNN](/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio) | detector | OpenVINO | X | |
| [Mask RCNN](/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio) | detector | OpenVINO | X | |
| [YOLO v3](/serverless/openvino/omz/public/yolo-v3-tf/nuclio) | detector | OpenVINO | X | |
| [Object reidentification](/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio) | reid | OpenVINO | X | |
| [Semantic segmentation for ADAS](/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio) | detector | OpenVINO | X | |
| [Text detection v4](/serverless/openvino/omz/intel/text-detection-0004/nuclio) | detector | OpenVINO | X | |
| [YOLO v5](/serverless/pytorch/ultralytics/yolov5/nuclio) | detector | PyTorch | X | |
| [SiamMask](/serverless/pytorch/foolwood/siammask/nuclio) | tracker | PyTorch | X | X |
| [f-BRS](/serverless/pytorch/saic-vul/fbrs/nuclio) | interactor | PyTorch | X | |
| [HRNet](/serverless/pytorch/saic-vul/hrnet/nuclio) | interactor | PyTorch | | X |
| [Inside-Outside Guidance](/serverless/pytorch/shiyinzhang/iog/nuclio) | interactor | PyTorch | X | |
| [Faster RCNN](/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio) | detector | TensorFlow | X | X |
| [Mask RCNN](/serverless/tensorflow/matterport/mask_rcnn/nuclio) | detector | TensorFlow | X | X |
| [RetinaNet](serverless/pytorch/facebookresearch/detectron2/retinanet/nuclio) | detector | PyTorch | X | X |
| [Face Detection](/serverless/openvino/omz/intel/face-detection-0205/nuclio) | detector | OpenVINO | X | |
| [Deep Extreme Cut](/serverless/openvino/dextr/nuclio) | interactor | OpenVINO | ✔️ | |
| [Faster RCNN](/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio) | detector | OpenVINO | ✔️ | |
| [Mask RCNN](/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio) | detector | OpenVINO | ✔️ | |
| [YOLO v3](/serverless/openvino/omz/public/yolo-v3-tf/nuclio) | detector | OpenVINO | ✔️ | |
| [Object reidentification](/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio) | reid | OpenVINO | ✔️ | |
| [Semantic segmentation for ADAS](/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio) | detector | OpenVINO | ✔️ | |
| [Text detection v4](/serverless/openvino/omz/intel/text-detection-0004/nuclio) | detector | OpenVINO | ✔️ | |
| [YOLO v5](/serverless/pytorch/ultralytics/yolov5/nuclio) | detector | PyTorch | ✔️ | |
| [SiamMask](/serverless/pytorch/foolwood/siammask/nuclio) | tracker | PyTorch | ✔️ | ✔️ |
| [f-BRS](/serverless/pytorch/saic-vul/fbrs/nuclio) | interactor | PyTorch | ✔️ | |
| [HRNet](/serverless/pytorch/saic-vul/hrnet/nuclio) | interactor | PyTorch | | ✔️ |
| [Inside-Outside Guidance](/serverless/pytorch/shiyinzhang/iog/nuclio) | interactor | PyTorch | ✔️ | |
| [Faster RCNN](/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio) | detector | TensorFlow | ✔️ | ✔️ |
| [Mask RCNN](/serverless/tensorflow/matterport/mask_rcnn/nuclio) | detector | TensorFlow | ✔️ | ✔️ |
| [RetinaNet](serverless/pytorch/facebookresearch/detectron2/retinanet/nuclio) | detector | PyTorch | ✔️ | ✔️ |
| [Face Detection](/serverless/openvino/omz/intel/face-detection-0205/nuclio) | detector | OpenVINO | ✔️ | |
<!--lint enable maximum-line-length-->
@ -177,26 +179,23 @@ The exact steps on how FFmpeg was configured and compiled can be found in the [D
FFmpeg is an open source framework licensed under LGPL and GPL.
See [https://www.ffmpeg.org/legal.html](https://www.ffmpeg.org/legal.html). You are solely responsible
for determining if your use of FFmpeg requires any
additional licenses. CVAT.ai is not responsible for obtaining 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.
## Questions
CVAT usage related questions or unclear concepts can be posted in our
[Gitter chat](https://gitter.im/opencv-cvat) for **quick replies** from
contributors and other users.
## Where to ask questions
However, if you have a feature request or a bug report that can reproduced,
feel free to open an issue (with steps to reproduce the bug if it's a bug
report) on [GitHub\* issues](https://github.com/cvat-ai/cvat/issues).
[Gitter chat](https://gitter.im/opencv-cvat): you can post CVAT usage related there.
Typically they get answered fast by the core team or community. You can also browse other users
common questions on our gitter.
If you are not sure or just want to browse other users common questions,
[Gitter chat](https://gitter.im/opencv-cvat) is the way to go.
[GitHub issues](https://github.com/cvat-ai/cvat/issues): please post your have feature requests or bug reports there.
If it's a bug, please add the steps to reproduce it.
Other ways to ask questions and get our support:
[\#cvat](https://stackoverflow.com/search?q=%23cvat) tag on StackOverflow is one more way to ask
questions and get our support.
- [\#cvat](https://stackoverflow.com/search?q=%23cvat) tag on StackOverflow\*
[contact@cvat.ai](mailto:contact+github@cvat.ai): reach out to us with feedback, comments, or inquiries.
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