Overview#
Welcome to DataEval’s Documentation!
Where experts come to build robust, reliable, and responsible models.
Key Features#
Novel algorithms that characterize image data and its impact on model performance
Works for image classification and object detection tasks
Full integration with the JATIC Toolbox by CDAO
Open source
We do the all the research, you get all the benefits#
Before You Begin#
Installation Guide
Jump in and try out DataEval for yourself.
About DataEval
Learn what drives us here at ARiA, our role in AI T&E, and why we created DataEval.
Start Here#
We are proud of our tools, so we highlighted some simple but powerful functionality that you can try yourself!
Bayes Error Rate
Accurately calculate the maximum performance of your dataset.
Model Sufficiency
Estimate your model’s performance based on the size of your dataset
Stay Practical#
These handcrafted guides created by experts here at ARIA will get you up and running while improving your day-to-day worklife.
Be Theoretical#
Dive deep into the concepts that DataEval is built upon to enhance your skillset.
Concepts
Need to understand the theory behind the math that makes DataEval so powerful?
Click through these focused guides on the research, implementation, and tradeoffs we used to better suit your needs.
Workflows
Want in-depth understanding with no-code explanations?
Read these role-specific guides for the data analysis tasks you will see in your daily work.
Get Technical#
Everything you need to become an expert with DataEval.
API Reference
Looking for a specific function or class?
Find all the technical details needed to understand the DataEval Ecosystem.
Contributing#
Changelog#
DataEval’s development changelog