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Description
Your AI Data Platform
High Quality Training Data for Enterprise
Data Labeling Software for Machine Learning
Your Kubernetes Cluster up to 3 users is free
TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE
Images, Video, and Text
Spatial Tools
Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More
You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video.
Attribute Tools
More Meaning. More freedom through:
Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more!
Complex knowledge can be captured and encoded into your AI.
Streaming Data
Automation
Manual labeling can be up to 10x faster than automated labeling
Description
Revolutionary machine teaching is here with an exceptionally efficient annotation tool driven by active learning. Prodigy serves as a customizable annotation platform so effective that data scientists can handle the annotation process themselves, paving the way for rapid iteration. The advancements in today's transfer learning technologies allow for the training of high-quality models using minimal examples. By utilizing Prodigy, you can fully leverage contemporary machine learning techniques, embracing a more flexible method for data gathering. This will enable you to accelerate your workflow, gain greater autonomy, and deliver significantly more successful projects. Prodigy merges cutting-edge insights from the realms of machine learning and user experience design. Its ongoing active learning framework ensures that you only need to annotate those examples the model is uncertain about. The web application is not only powerful and extensible but also adheres to the latest user experience standards. The brilliance lies in its straightforward design: it encourages you to concentrate on one decision at a time, keeping you actively engaged – akin to a swipe-right approach for data. Additionally, this streamlined process fosters a more enjoyable and effective annotation experience overall.
API Access
Has API
API Access
Has API
Integrations
AWS CloudFormation
Amazon Web Services (AWS)
Google Cloud Platform
Kubernetes
Labelbox
Microsoft Azure
Scale GenAI Platform
TensorFlow
ZenML
Integrations
AWS CloudFormation
Amazon Web Services (AWS)
Google Cloud Platform
Kubernetes
Labelbox
Microsoft Azure
Scale GenAI Platform
TensorFlow
ZenML
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$490 one-time fee
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Diffgram
Founded
2018
Country
Santa Clara CA
Website
www.diffgram.com
Vendor Details
Company Name
Explosion
Founded
2016
Country
Germany
Website
prodi.gy/
Product Features
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Product Features
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization