Software Alternatives & Reviews

Computer Vision Annotation Tool (CVAT)

Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

Computer Vision Annotation Tool (CVAT) Alternatives

The best Computer Vision Annotation Tool (CVAT) alternatives based on verified products, community votes, reviews and other factors.
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  1. 32
    /aws-sagemaker-ground-truth-alternatives

    Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

  2. 32
    /labelbox-alternatives

    Build computer vision products for the real world

    Open Source freemium

  3. Try for free

    Online gallery and proofing platform for creative professionals.

    Try for free freemium $8.0 / Monthly

  4. 27
    /supervisely-alternatives

    Supervisely helps people with and without machine learning expertise to create state-of-the-art...

  5. 21
    /universal-data-tool-alternatives

    Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

  6. 23
    /segments-ai-alternatives

    Multi-sensor labeling platform for robotics and autonomous driving

    freemium €800.0 / Monthly (Includes 3,600 hours/yr of labeling usage)

  7. 13
    /v7-alternatives

    Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

    Open Source

  8. 13
    /hasty-ai-alternatives

    Humans helping machines see the world.

    freemium €300.0 / Monthly

  9. /superannotate-alternatives

    Empowering Enterprises with Custom LLM/GenAI/CV Models.

    freemium

  10. 14
    /dataloop-ai-alternatives

    Enterprise grade data platform for AI systems in development and in production.

  11. /amazon-mechanical-turk-alternatives
  12. /roboflow-annotate-alternatives

    Annotate images with ease. Export to any format.

  13. /opencv-alternatives

    OpenCV is the world's biggest computer vision library

    Open Source

  14. /crowdflower-alternatives

    Enterprise crowdsourcing for micro-tasks

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