Prodigy ML vs Computer Vision Annotation Tool (CVAT)

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

Prodigy ML is a Ai Tools & Services solution with tags like machine-learning, data-labeling, computer-vision, nlp.

It boasts features such as Active learning to prioritize labeling, Pre-built templates for common tasks, Real-time model evaluation, Team collaboration, API access, Integrations with popular ML frameworks and pros including Speeds up model training, Reduces need for large labeled datasets, Intuitive interface, Works for image, text, audio and other data types.

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.

Prodigy ML

Prodigy ML

Prodigy ML is an annotation tool that helps train machine learning models faster. It allows users to rapidly label datasets and build accurate models with less data.

Categories:
Ai Tools & Services Data Annotation
machine-learning data-labeling computer-vision nlp

Prodigy ML Features

  1. Active learning to prioritize labeling
  2. Pre-built templates for common tasks
  3. Real-time model evaluation
  4. Team collaboration
  5. API access
  6. Integrations with popular ML frameworks

Pricing

  • Freemium
  • Subscription-Based

Pros

Speeds up model training

Reduces need for large labeled datasets

Intuitive interface

Works for image, text, audio and other data types

Cons

Limited free plan

Steep learning curve for advanced features

No offline usage

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:
Ai Tools & Services Computer Vision
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