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
potato: the portable annotation tool
Web application for image labeling and segmentation
🚤 Label data at scale. Fun and precision included.
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)
A Jupyter widget for annotating images with bounding boxes
Superpipe - optimized LLM pipelines for structured data