Prodigy

Prodigy

Explosion
+
+

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About

The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time by using predictions to assist your labeling process with ML backend integration. Connect to cloud object storage and label data there directly with S3 and GCP. Prepare and manage your dataset in our Data Manager using advanced filters. Support multiple projects, use cases, and data types in one platform. Start typing in the config, and you can quickly preview the labeling interface. At the bottom of the page, you have live serialization updates of what Label Studio expects as an input.

About

Radically efficient machine teaching. An annotation tool powered by active learning. Prodigy is a scriptable annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration. Today’s transfer learning technologies mean you can train production-quality models with very few examples. With Prodigy you can take full advantage of modern machine learning by adopting a more agile approach to data collection. You'll move faster, be more independent and ship far more successful projects. Prodigy brings together state-of-the-art insights from machine learning and user experience. With its continuous active learning system, you're only asked to annotate examples the model does not already know the answer to. The web application is powerful, extensible and follows modern UX principles. The secret is very simple: it's designed to help you focus on one decision at a time and keep you clicking – like Tinder for data.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers searching for a solution to label every data type and build custom UIs for computer vision processes

Audience

Data scientists, AI developers, data labelers

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Supported

Pricing

$490 one-time fee
Per seat, available in packs of 5 seats
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Label Studio
United States
labelstud.io

Company Information

Explosion
Founded: 2016
Germany
prodi.gy/

Alternatives

Ango Hub

Ango Hub

iMerit

Alternatives

Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth

Amazon Web Services

Categories

AI Fine-Tuning Supported
Data Annotation Supported
Data Labeling Supported
Image Annotation Supported
LLM Evaluation Supported
RLHF Supported
Video Annotation Supported

Categories

Data Labeling Features

Human-in-the-loop Not Supported
Labeling Automation Supported
Labeling Quality Not Supported
Performance Tracking Not Supported
Polygon, Rectangle, Line, Point Not Supported
SDK Not Supported
Supports Audio Files Not Supported
Task Management Supported
Team Collaboration Not Supported
Training Data Management Not Supported

Integrations

ZenML Supported
Amazon S3 Supported
Amazon SageMaker Supported
ApertureDB Supported
Azure Blob Storage Supported
Flair Supported
Galileo AI Supported
Google Cloud Storage Supported
Hugging Face Supported
Kubernetes Supported
Lightly Supported
Modzy Supported
Pachyderm Supported
PostgreSQL Supported
PyTorch Supported
Redis Supported
Rosepetal AI Supported
TensorFlow Supported
Tesseract Supported
scikit-image Supported

Integrations

ZenML Supported
Amazon S3 Not Supported
Amazon SageMaker Not Supported
ApertureDB Not Supported
Azure Blob Storage Not Supported
Flair Not Supported
Galileo AI Not Supported
Google Cloud Storage Not Supported
Hugging Face Not Supported
Kubernetes Not Supported
Lightly Not Supported
Modzy Not Supported
Pachyderm Not Supported
PostgreSQL Not Supported
PyTorch Not Supported
Redis Not Supported
Rosepetal AI Not Supported
TensorFlow Not Supported
Tesseract Not Supported
scikit-image Not Supported
Claim Label Studio and update features and information
Claim Label Studio and update features and information
Claim Prodigy and update features and information
Claim Prodigy and update features and information