#Data-labeling
Showing 18 of 18 repositories tagged #data-labeling, ranked by stars
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Open source annotation tool for machine learning practitioners.
A curated list of awesome data labeling tools
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
Make drawing and labeling bounding boxes a piece of cake
Web application for image labeling and segmentation
:speedboat: Label data at scale. Fun and precision included.
A web-based document annotation tool, powered by GPT-4 :rocket:
Labelling platform for text using weak supervision.
Toloka-Kit is a Python library for working with Toloka API.
A Jupyter widget for annotating images with bounding boxes
A simple client for doccano API.
Vailabel Studio - a local-first desktop studio that labels your data with an offline AI copilot. Private by default. Windows, macOS, Linux.
Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
🧬 A VS Code extension for annotating data with Prodigy