Roboflow vs Computer Vision Annotation Tool (CVAT)

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

Roboflow is a Ai Tools & Services solution with tags like machine-learning, image-annotation, bounding-boxes, datasets, computer-vision, no-code.

It boasts features such as Image annotation, Dataset management, Preprocessing pipelines, Model training, Model hosting, Collaboration tools and pros including No-code interface, Automated preprocessing, Integrations with popular ML frameworks, Scales to large datasets, Version control for datasets, Team collaboration features.

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.

Roboflow

Roboflow

Roboflow is a no-code computer vision platform for annotating, preprocessing, and managing datasets for machine learning. It allows you to upload images, draw bounding boxes, and export labeled datasets without writing any code.

Categories:
machine-learning image-annotation bounding-boxes datasets computer-vision no-code

Roboflow Features

  1. Image annotation
  2. Dataset management
  3. Preprocessing pipelines
  4. Model training
  5. Model hosting
  6. Collaboration tools

Pricing

  • Freemium
  • Subscription-Based

Pros

No-code interface

Automated preprocessing

Integrations with popular ML frameworks

Scales to large datasets

Version control for datasets

Team collaboration features

Cons

Limited customization compared to coding

Less flexibility than DIY options

Must upload data to Roboflow servers


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