Label Studio is a multi-type data labeling and annotation tool with standardized output format
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Updated
Jun 7, 2024 - JavaScript
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Client interface for all things Cleanlab Studio
Segments.ai Python SDK
NSF I-Corps Summer 2024 Survey i-star
🚤 Label data at scale. Fun and precision included.
A simple client for doccano API.
Superpipe - optimized LLM pipelines for structured data
Code accompanying the TOP paper "Predicting the Demographics of Twitter Users with Programmatic Weak Supervision".
A curated list of awesome data labeling tools
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
Dash components for computer vision annotation tasks
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Toloka-Kit is a Python library for working with Toloka API.
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
A Data Centric NER annotation tool for your Named Entity Recognition projects
A labeler-app for video labeling, for example for machine learning. For timewindows (|....|) and pointactivities (.|.)
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