Supervisely vs Prodigy ML

Struggling to choose between Supervisely and Prodigy ML? 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, Prodigy ML is a Ai Tools & Services product tagged with machine-learning, data-labeling, computer-vision, nlp.

Its standout features include 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 it shines with pros like Speeds up model training, Reduces need for large labeled datasets, Intuitive interface, Works for image, text, audio and other data types.

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

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