Label Studio is an open source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. It can be used to prepare raw data or improve existing training data to get more accurate ML models.
Label-Studio for Data Annotations have been modified. Here It can be used with multi users with safe control over the data. No user can delete labels, predictions or make changes in setting.
# Requires >=Python3.6, <3.9
pip install label-studio
# Start the server at http://localhost:8080
label-studioYou can run the latest Label Studio version locally without installing the package with pip.
git clone https://github.com/Prajit-Sengupta/Modified-Label-Studio.git
cd label-studio
git checkout 3e28c167765c5a4030fbd309955d4eb64baf1841
# Install all package dependencies
pip install -e .
# Run database migrations
python label_studio/manage.py migrate
# Start the server in development mode at http://localhost:8080
python label_studio/manage.py runserverThe frontend part of Label Studio app lies in the frontend/ folder and written in React JSX. In case you've made some changes there, the following commands should be run before building / starting the instance:
cd label_studio/frontend/
npm ci
npx webpack
cd ../..
python label_studio/manage.py collectstatic --no-input
- Safe Enviroment for multi-users to work on an enviroment
- Have removed the Danger Zone, Cloud Storage & WebHooks Pages from Settings, so that no user/annotator can delete or make modifications in the whole project
- Removed 3 Actions of Tasks: Delete Tasks, Delete Task Annotations, Delete Task Predcitions
- All deletion actions have been removed.
