Computer Vision Annotation Tool (CVAT) vs VGG Image Annotator (VIA)

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

Computer Vision Annotation Tool (CVAT) is a Ai Tools & Services solution with tags like image-annotation, video-annotation, computer-vision, open-source.

It boasts features such as 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 pros including Open source and free, Active development and support community, Powerful annotation capabilities, Collaborative workflows, Integrates with popular ML/DL frameworks.

On the other hand, VGG Image Annotator (VIA) is a Ai Tools & Services product tagged with image-annotation, machine-learning, computer-vision, dataset-creation.

Its standout features include Image annotation, Region, rectangle, ellipse, polygon and point annotations, Image-level labels, Keyboard shortcuts, Project management, Import/export annotations, Plugin ecosystem, and it shines with pros like Open source, Easy to use interface, Support for multiple annotation types, Active development community, Cross-platform.

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.

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

VGG Image Annotator (VIA)

VGG Image Annotator (VIA)

VGG Image Annotator (VIA) is an open source image annotation tool for labeling images to create datasets for machine learning models. It supports region, rectangle, ellipse, polygon, point, and image-level annotations.

Categories:
Ai Tools & Services Image Annotation
image-annotation machine-learning computer-vision dataset-creation

VGG Image Annotator (VIA) Features

  1. Image annotation
  2. Region, rectangle, ellipse, polygon and point annotations
  3. Image-level labels
  4. Keyboard shortcuts
  5. Project management
  6. Import/export annotations
  7. Plugin ecosystem

Pricing

  • Open Source

Pros

Open source

Easy to use interface

Support for multiple annotation types

Active development community

Cross-platform

Cons

Limited documentation

Less features than some commercial options

Only supports images (no video)

No built-in data augmentation tools