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CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
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.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
🔧 A curated list of awesome dataset tools
:christmas_tree:Visualization and annotation of phylogenetic trees
Use d3-annotation with built-in annotation types, or extend it to make custom annotations. It is made for d3-v4 in SVG.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
🏃 The go-to single-cell Foundation Model
Crop/Weed Field Image Dataset
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.