About Keylabs
Keylabs is a professional data annotation platform for image, video, and 3D data. It offers AI-assisted tools, multi-layer QA, and expert annotators to help build production-ready datasets for AI.
The platform supports annotation of image, video, and 3D data with AI in the loop. It includes features such as frame-by-frame tracking, temporal annotation, auto-labeling, and integration with models like YOLO and SAM, as well as custom models via API.
Key features
- Image annotation with pixel-perfect labeling
- Video annotation with frame-by-frame tracking and interpolation
- 3D and LiDAR annotation
- ML-assisted annotation with model-in-the-loop automation
- Multi-layer QA system with annotator verification checks
- API, SDK, storage, and export for MLOps integration
Good fit for
- Building training datasets for computer vision models
- Automating routine labeling with AI-assisted tools
- Managing annotation workflows with built-in QA and team management
Keylabs: questions and answers
- What is Keylabs used for?
- Keylabs is a data annotation platform for image, video, and 3D data that provides AI-assisted tools, multi-layer QA, and expert annotators. It is a good fit for building training datasets for computer vision models, automating routine labeling with AI-assisted tools, and managing annotation workflows with built-in QA and team management.
- Is Keylabs open source?
- No. Keylabs is proprietary (closed-source) software. In the AI Tools category, open-source options include Kubeflow, AutoGPT and Dograh.
- What are some alternatives to Keylabs?
- Keylabs competes with Scale AI.
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