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DataFreemiumOpen Source
CVAT
Open-source computer vision annotation tool for AI training data
MIT
ABOUT
Building computer vision AI models requires large, accurately labeled datasets, but manual annotation is slow and inconsistent across team members. CVAT solves this with a web-based annotation platform that supports images, video, and 3D data — with AI-assisted labeling, automated annotation via model integration, quality control workflows, and team collaboration features that dramatically speed up dataset creation.
INSTALL
docker compose -f docker-compose.yml up -dINTEGRATION GUIDE
1. Label a large image dataset for training a custom object detection model with AI-assisted annotation
2. Annotate video frames for action recognition with automated interpolation between keyframes
3. Build a team data labeling pipeline with role-based access, review workflows, and quality tracking
4. Create a semantic segmentation dataset using automated segmentation model suggestions
5. Develop a training data pipeline that integrates CVAT with model training for active learning loops
TAGS
annotationcomputer-visiondata-labelingtraining-dataimage-annotationvideo-annotationdockerteam-collaboration