Label Studio is a multi-type data labeling tool and data annotation workspace designed to prepare datasets for machine learning training. It functions as a cloud-integrated data pipeline that imports raw data from storage, manages the annotation process, and exports labels into standardized formats. The platform features a machine learning model integration framework that connects to external model servers. This enables model-assisted annotation and active learning, allowing the system to perform pre-labeling and refine predictions based on human feedback. The software provides project manag
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
A collaborative tool for labeling image data for yolo
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The main features of openvinotoolkit/cvat are: Image Annotation Tools, Multimodal Annotation Tools.
Open-source alternatives to openvinotoolkit/cvat include: heartexlabs/label-studio — Label Studio is a multi-type data labeling tool and data annotation workspace designed to prepare datasets for machine… diffgram/diffgram — The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data… ai4bharat/shoonya — An open source platform to annotate and label data at scale. astutic/acharya — A data-centric annotation tool to increase the accuracy of your Named Entity Recognition projects which helps. autodistill/autodistill — Images to inference with no labeling (use foundation models to train supervised models). alturosdestinations/alturos.imageannotation — A collaborative tool for labeling image data for yolo.
