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What is Prodigy?

Groundbreaking machine teaching has arrived, featuring an incredibly effective annotation tool powered by active learning. Prodigy stands out as a customizable annotation platform so proficient that data scientists can take charge of the annotation process themselves, facilitating quick iterations. The progress seen in current transfer learning technologies enables the creation of high-quality models with minimal examples. By adopting Prodigy, you can fully harness modern machine learning strategies, engaging in a more adaptable approach to data collection. This capability not only speeds up your workflow but also grants you increased independence, resulting in a significant boost in project success rates. Prodigy combines state-of-the-art insights from both machine learning and user experience design, making it exceptionally versatile. Its continuous active learning framework ensures that you only annotate cases where the model exhibits uncertainty, optimizing your time and effort. The web application is not only robust and adaptable but also complies with the most up-to-date user experience standards. What makes Prodigy truly remarkable is its intuitive design: it allows you to focus on one decision at a time, keeping you actively involved—similar to a swipe-right method for data. Furthermore, this streamlined approach enhances the overall enjoyment and effectiveness of the annotation process, making it an invaluable tool for data scientists. As a result, users can expect not just efficiency but also a more satisfying experience while navigating through their annotation tasks.

What is Intel Geti?

Intel® Geti™ software simplifies the process of developing computer vision models by providing efficient tools for data annotation and training. Among its features are smart annotations, active learning, and task chaining, which empower users to create models for various applications such as classification, object detection, and anomaly detection without requiring additional programming. Additionally, the platform boasts optimizations, hyperparameter tuning, and production-ready models that work seamlessly with Intel’s OpenVINO™ toolkit. Designed to promote teamwork, Geti™ supports collaboration by assisting teams throughout the entire lifecycle of model development, from data labeling to successful model deployment. This all-encompassing strategy allows users to concentrate on fine-tuning their models while reducing technical challenges, ultimately enhancing the overall efficiency of the development process. By streamlining these tasks, Geti™ enables quicker iterations and fosters innovation in computer vision applications.

Media

Media

Integrations Supported

ZenML

Integrations Supported

Intel Open Edge Platform
OpenVINO

API Availability

Has API

API Availability

Has API

Pricing Information

$490 one-time fee
Per seat, available in packs of 5 seats

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Explosion

Date Founded

2016

Company Location

Germany

Company Website

prodi.gy/

Company Facts

Organization Name

Intel

Date Founded

1968

Company Location

United States

Company Website

www.intel.com/content/www/us/en/developer/tools/tiber/edge-platform/model-builder.html

Categories and Features

Data Annotation

Not specified

Data Labeling

Labeling Automation
Task Management

Image Annotation

Not specified

Machine Learning

Not specified

Video Annotation

Not specified

Categories and Features

Computer Vision

Not specified

Data Annotation

Not specified

Data Labeling

Not specified

Image Annotation

Not specified

Video Annotation

Not specified

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