Open source annotation and labeling tool for image and video assets
DataGym.ai is a modern, web based workbench to label images and videos. It allows you to manage your projects and datasets, label data, control quality and build your own training data pipeline. With DataGym.ai´s API and Python SDK you can integrate it into your toolchain.
The simplest way to run DataGym.ai locally is by using docker-compose.
docker-compose.yml
from the projects root-directorywget https://raw.githubusercontent.com/datagym-ai/datagym-core/master/docker-compose.yml
docker-compose up -d
localhost:8080
Build the whole project:
mvn clean install
We would love to receive contributions - please review our Contributing Guide for all relevant details.
This project is licensed under the MIT License - see the LICENSE file for details