Supervisely vs Computer Vision Annotation Tool (CVAT)

Struggling to choose between Supervisely and Computer Vision Annotation Tool (CVAT)? Both products offer unique advantages, making it a tough decision.

Supervisely is a Ai Tools & Services solution with tags like nocode, annotation, neural-networks, computer-vision, machine-learning.

It boasts features such as Image annotation, Video annotation, 3D annotation, Model training, Model deployment, Collaboration, Version control, Integrations and pros including No-code platform, Streamlines computer vision workflows, Robust annotation capabilities, Built-in model training, Team collaboration features, Integrates with popular frameworks.

On the other hand, Computer Vision Annotation Tool (CVAT) is a Ai Tools & Services product tagged with image-annotation, video-annotation, computer-vision, open-source.

Its standout features include Image, video and 3D point cloud annotation, Multiple user management with different roles, Predefined tags and automatic annotation, Interpolation of bounding boxes across frames, Review and acceptance workflows, REST API, Integration with deep learning frameworks, and it shines with pros like Open source and free, Active development and support community, Powerful annotation capabilities, Collaborative workflows, Integrates with popular ML/DL frameworks.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Supervisely

Supervisely

Supervisely is a no-code platform for computer vision and machine learning. It allows users to annotate data, train neural networks, and deploy models without coding. Supervisely streamlines computer vision workflows.

Categories:
nocode annotation neural-networks computer-vision machine-learning

Supervisely Features

  1. Image annotation
  2. Video annotation
  3. 3D annotation
  4. Model training
  5. Model deployment
  6. Collaboration
  7. Version control
  8. Integrations

Pricing

  • Freemium
  • Subscription-Based

Pros

No-code platform

Streamlines computer vision workflows

Robust annotation capabilities

Built-in model training

Team collaboration features

Integrates with popular frameworks

Cons

Steep learning curve

Limited customization without coding

No on-premise deployment option


Computer Vision Annotation Tool (CVAT)

Computer Vision Annotation Tool (CVAT)

CVAT is an open source computer vision annotation tool for labeling images and video. It allows for collaborative annotation of datasets with features like predefined tags, interpolation of bounding boxes across frames, and review/acceptance workflows.

Categories:
image-annotation video-annotation computer-vision open-source

Computer Vision Annotation Tool (CVAT) Features

  1. Image, video and 3D point cloud annotation
  2. Multiple user management with different roles
  3. Predefined tags and automatic annotation
  4. Interpolation of bounding boxes across frames
  5. Review and acceptance workflows
  6. REST API
  7. Integration with deep learning frameworks

Pricing

  • Open Source

Pros

Open source and free

Active development and support community

Powerful annotation capabilities

Collaborative workflows

Integrates with popular ML/DL frameworks

Cons

Steep learning curve

Limited documentation

No native object tracking

Only supports COCO format natively