Data Labeling
Showing 13 of 13 projects
An open-source data labeling tool for annotating audio, text, images, videos, and time series with a simple UI and standardized output.
An open-source data-centric AI library for automatically detecting and fixing data quality issues in machine learning datasets.
A Python library for programmatically building and managing training data using weak supervision.
A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.
A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.
A web-based labeling tool for creating semantic segmentation training data from 2D images and 3D point clouds.
A desktop application for semi-automatic image annotation using OpenCV's watershed algorithm with manual brush refinement.
A curated list of open-source and commercial tools for labeling and managing datasets across images, audio, time series, and text.
A semi-automatic, web-based toolbox for annotating 3D bounding boxes in full-surround, multi-modal sensor data streams.
A D3.js plugin for adding customizable annotations to SVG charts and visualizations.
A Docker-based image annotation tool for bounding box labeling with auto-labeling support, designed for deep learning training.
A lightweight, web-based raw text annotation tool for collaborative annotation projects with support for complex schemas.
A graphical user interface for annotating point clouds and 3D scenes with bounding boxes, keypoints, and rectangles.
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