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* Disable fix_segments_intersections for now When the bounding boxes had intersections and were exported with the COCO JSON format they were often cut off. I commented out the line with the function fix_segments_intersections and replaced it with lines of that function. This helped with the bounding boxes and keeps the masks as they are created with CVAT. It is probably inconvenient for the user to get something fixed in the export without an active agreement of the user. Secondly letting a function automatically fix segments could result in a bad fix. * Use fix_segments_intersections only with z-order The fix_segments_intersections will only be used when the z-order flag is set. This is useful for bounding boxes or masks which don't need to be fixed. This fix was created according to Andrey Zhavoronkov's (@azhavoro) advice. |
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| CHANGELOG.md | 6 years ago | |
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README.md
Computer Vision Annotation Tool (CVAT)
CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our team to annotate million of objects with different properties. Many UI and UX decisions are based on feedbacks from professional data annotation team.
Documentation
- Installation guide
- User's guide
- Django REST API documentation
- Command line interface
- XML annotation format
- AWS Deployment Guide
- Questions
Screencasts
- Introduction
- Annotation mode
- Interpolation mode
- Attribute mode
- Segmentation mode
- Tutorial for polygons
- Semi-automatic segmentation
Supported annotation formats
Format selection is possible after clicking on the Upload annotation / Dump annotation button.
| Annotation format | Dumper | Loader |
|---|---|---|
| CVAT XML v1.1 for images | X | X |
| CVAT XML v1.1 for a video | X | X |
| Pascal VOC | X | X |
| YOLO | X | X |
| MS COCO Object Detection | X | X |
| PNG mask | X | |
| TFrecord | X | X |
Links
- Intel AI blog: New Computer Vision Tool Accelerates Annotation of Digital Images and Video
- Intel Software: Computer Vision Annotation Tool: A Universal Approach to Data Annotation
- VentureBeat: Intel open-sources CVAT, a toolkit for data labeling
Online Demo
Onepanel has added CVAT as an environment into their platform and a running demo of CVAT can be accessed at CVAT Public Demo.
After you click the link above:
- Click on "GO TO WORKSPACE" and the CVAT environment will load up
- The environment is backed by a K80 GPU
If you have any questions, please contact Onepanel directly at support@onepanel.io. If you are in the Onepanel application, you can also use the chat icon in the bottom right corner.
REST API
Automatically generated Swagger documentation for Django REST API is
available on <cvat_origin>/api/swagger (default: localhost:8080/api/swagger).
LICENSE
Code released under the MIT License.
Questions
CVAT usage related questions or unclear concepts can be posted in our Gitter chat for quick replies from contributors and other users.
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).
If you are not sure or just want to browse other users common questions, Gitter chat is the way to go.