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.

Make drawing and labeling bounding boxes a piece of cake

Web application for image labeling and segmentation

🚤 Label data at scale. Fun and precision included.

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.

A web-based document annotation tool, powered by GPT-4 🚀

Labelling platform for text using weak supervision.

A curated list of awesome data annotation tools

Toloka-Kit is a Python library for working with Toloka API.

Label data using HuggingFace's transformers and automatically get a prediction service

A library to synthesize text datasets using Large Language Models (LLM)

图像images/点云point clouds标注工具汇总

A Jupyter widget for annotating images with bounding boxes

Superpipe - optimized LLM pipelines for structured data

A simple client for doccano API.