Supervisely vs VGG Image Annotator (VIA)

Struggling to choose between Supervisely and VGG Image Annotator (VIA)? 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, 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.

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:
Ai Tools & Services Computer Vision
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

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