Label Studio is a multi-type data labeling and annotation tool with standardized output format
-
Updated
Jun 20, 2024 - JavaScript
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Project has moved to http://github.com/annotorious/annotorious
Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
Web application for image labeling and segmentation
Computer vision based ML training data generation tool 🚀
Collaborative Annotation Toolkit for Massive Amounts of Image Data
An OpenSeadragon plugin for annotating high-res zoomable images
A React based image & video annotation tool
Video analytics web platform
LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.
Pixano App is a web-based smart-annotation tool for computer vision applications.
Source code for the MorphoCluster application described in Schroeder et al. 2020
A React component for annotating PDF, powered by PDF.js and RecogitoJS
Create image annotations. Classify and tag images using polygons, bounding boxes, or circles.
An image annotation library.
Canvas-based image landmarking tool for Amazon Mechanical Turk
An open source labeling tool
Annotation Platform for Machine Learning / Data Science, forked from DataTurks
Add a description, image, and links to the image-annotation topic page so that developers can more easily learn about it.
To associate your repository with the image-annotation topic, visit your repo's landing page and select "manage topics."