Prodigy

Prodigy

Explosion
+
+

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About

The goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by visiting the annotation tool. Organization of images into collections: You can organize the images into collections. You can also create collections inside collections just as you would do with folders. When you download your database, the collections will be organized into folders. Uploading and image annotation: You can upload images into your collections and annotate your images using the online LabelMe annotation tool. Unlisted collections are ones that anyone can view if they have access to the URL, but will not be displayed in the set of public folders. As the goal of LabelMe is to provide a tool for research, the images and annotations are expected to become available to the research comunity without restrictions.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Web-based image annotation tool that allows researchers to label images and share the annotations with the world

Audience

Data scientists, AI developers, data labelers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$490 one-time fee
Free Version
Free Trial

Reviews/Ratings

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

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

LabelMe
labelme.csail.mit.edu/Release3.0/

Company Information

Explosion
Founded: 2016
Germany
prodi.gy/

Alternatives

Alternatives

Klatch

Klatch

Klatch Technologies
LinkedAI

LinkedAI

LinkedAi

Categories

Categories

Data Labeling Features

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

Integrations

ZenML

Integrations

ZenML
Claim LabelMe and update features and information
Claim LabelMe and update features and information
Claim Prodigy and update features and information
Claim Prodigy and update features and information