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A curated list of resources for action recognition, video understanding, object detection, and pose estimation in computer vision.
A curated collection of academic papers, code, and resources for learning with noisy labels in machine learning.
A curated list of resources for Document Understanding (DU), covering research, datasets, tools, and applications in Intelligent Document Processing.
A curated list of open-source and commercial tools for labeling and managing datasets across images, audio, time series, and text.
A Ruby gem for managing human-curated datasets stored as TOML in Git repositories.
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