Roboflow is an end-to-end computer vision platform for collecting and annotating image and video data, training models, and deploying inference applications. It supports hosted and self-managed deployment across devices, edge environments, private clouds, and APIs for developers and enterprises.
Roboflow sits in PulseGate's Data labelling & annotation category. It focuses on building and deploying computer vision applications without assembling separate data, training, and inference tools. Roboflow is a B2B product aimed at computer vision developers, ML engineers, and enterprise AI teams. There is a free tier. It runs on the web, the command line, and API, and it can be self-hosted.
Roboflow, Inc. builds and maintains Roboflow, and it first shipped in 2022. The project is developed in the open on GitHub with 49.8k stars and 203 commits in the last 90 days. Key capabilities include AI-assisted annotation, dataset management, and model training. The interface is available in English and Japanese. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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