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CVAT vs Roboflow

CVATRoboflow

Bottom line: CVAT for computer-vision teams; Roboflow for developers building vision models.

Leading open-source annotation platform for image, video, and 3D vision

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End-to-end platform to build and deploy computer vision models

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Votes00
PricingFreemiumFreemium
CategoryData LabelingData Labeling
Tags
annotationcomputer-visionimage-labelingopen-source3d-annotation
computer-visionobject-detectiondata-annotationmodel-trainingmlops
Best for
  • Computer-vision teams
  • ML data ops
  • Researchers
  • Developers building vision models
  • Teams needing quick annotation-to-deployment
  • Startups and researchers prototyping visual AI
Pros
  • Free and open source (MIT) self-hosted
  • Supports 2D and 3D annotation tasks
  • AI-assisted labeling speeds work
  • Built-in QA, collaboration, and analytics
  • Developer APIs and SDK
  • End-to-end workflow in a single platform
  • Beginner-friendly with automatic labeling
  • Large Roboflow Universe dataset/model repository
  • Flexible deployment (cloud, edge, on-device)
  • Free plan to get started
Cons
  • Self-hosting requires setup and maintenance
  • UI can be complex for beginners
  • Focused on vision, not text/audio
  • Advanced cloud features are paid
  • Scaling annotation teams needs configuration
  • Free and Starter tiers have usage limits
  • Inference-heavy usage can raise costs
  • No self-hosted platform for most tiers
  • Managed approach limits very custom pipelines
  • Advanced features require higher paid tiers

Comparison generated from each tool's listing. Add or remove tools above to change it.