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 easy as 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)
A Jupyter widget for annotating images with bounding boxes
Superpipe - optimized LLM pipelines for structured data
A simple client for doccano API.
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