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.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
A system for quickly generating training data with weak supervision
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Images to inference with no labeling (use foundation models to train supervised models).
Labeling tool with SAM(segment anything model),supports SAM, SAM2, SAM3, sam-hq, MobileSAM EdgeSAM etc.δΊ€δΊεΌεθͺε¨εΎεζ 注ε·₯ε ·
Adala: Autonomous DAta (Labeling) Agent framework
Controllable Transcription. Verbatim ( every, filler, pause, stutter, vocal sound) , or intended ( what the speaker meant to say, optimized for readability) with word-level timestamps.
MONAI Label is an intelligent open source image labeling and learning tool.
LightlyStudio - The Unified Data Platform for Multimodal ML
Auditing and relabeling cross-distribution Linux wheels.
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
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.
Auditable human-feedback annotation, review, provenance, and frozen training-data export.