Overview

Welcome to DataEval’s Documentation

DataEval, the Data-Analysis Metrics Library, is an open-source toolkit that focuses on characterizing image data and its impact on model performance across classification and object-detection tasks.

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Guides

Installation

If DataEval is not installed, follow this easy step-by-step guide

Quickstart Tutorials

We are proud of our tools, so we highlighted common workflows with links so you can try them yourself!

DataEval is a powerful toolkit for any data analysis workflow, so be sure to check out the Quickstart Tutorials page for a more comprehensive list of all the tools we offer.

How-To’s

For the more experienced user, or if you are just curious, these guides show different ways that DataEval’s features can be used that might fit operational use more closely

Development

Reference

Looking for a specific function or class? This reference guide has all the technical details needed to understand the DataEval Ecosystem

Changelog

DataEval’s development changelog

About

For more information about why DataEval exists, this page gives an overview to DataEval’s purpose in ML