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Best active learning AI tools

Discover powerful active learning AI tools, including Labellerr, Lightly, and Prodigy, and other related products.

Prodigy
Paid

Prodigy

Prodigy is a scriptable annotation tool for AI, Machine Learning, and NLP, designed for developers. It enables rapid creation of high-quality training and evaluation data through model-assisted, human-in-the-loop workflows. It runs on your own infrastructure, ensuring complete data privacy and control.

Annotation
Visits 50.9KFavorites 147Likes 138
Lightly
Freemium

Lightly

Lightly is a comprehensive computer vision suite for machine learning teams. It streamlines the entire model development lifecycle, from intelligent data curation and selection on edge devices to efficient, label-free model pretraining and fine-tuning. By focusing on the most valuable data, Lightly helps build more accurate and production-ready AI models faster, while significantly reducing data labeling and storage costs.

Data Management
Visits 59.3KFavorites 151Likes 122
Labellerr
Freemium

Labellerr

Labellerr is an AI-powered data labeling and annotation platform designed to accelerate the development of Vision, NLP, and LLM models. It offers automated annotation, smart quality assurance, and seamless MLOps integration to deliver 99% accurate labels up to 99x faster, significantly reducing data preparation time and development costs for AI teams.

Machine Learning Operations
Visits 116.2KFavorites 166Likes 167
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