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Curate, Annotate, and Manage Your Data in LightlyStudio.
The main features of lightly-ai/lightly-studio are: Image Annotation Tools, Data Annotation and Synthesis, Image Viewers.
Projects with overlapping indexed features include: jsbroks/coco-annotator — :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints. autodistill/autodistill — Images to inference with no labeling (use foundation models to train supervised models). bit-bots/imagetagger — An open source online platform for collaborative image labeling. catmaid/catmaid — Collaborative Annotation Toolkit for Massive Amounts of Image Data. ch-sa/labelcloud — A lightweight tool for labeling 3D bounding boxes in point clouds. argilla-io/argilla — Argilla is a collaborative AI feedback tool and data curation management system. It serves as a human-in-the-loop…
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
Images to inference with no labeling (use foundation models to train supervised models).
An open source online platform for collaborative image labeling
Argilla is a collaborative AI feedback tool and data curation management system. It serves as a human-in-the-loop dataset platform designed to coordinate workforce annotators and domain experts in labeling, rating, and refining data samples for machine learning projects. The platform focuses on large language model dataset curation and reinforcement learning from human feedback workflows. It provides a shared workspace for integrating human expertise into AI development to validate model outputs and correct data errors. The system manages the end-to-end machine learning data pipeline, includ