Labellerr is a data annotation platform for creating labeled datasets used to train and evaluate AI and machine learning models. It supports image, video, text, medical DICOM, robotics, and large language model workflows, with human review and SDK-based automation.
In the Data labelling & annotation space, Labellerr takes a focused approach. It focuses on creating accurate, scalable labeled datasets for training and evaluating machine learning models. Labellerr is a B2B product aimed at AI and machine learning teams. Labellerr is available on the web.
Behind Labellerr is Labellerr, and it first shipped in 2024. The project is developed in the open on GitHub with 557 stars and 28 commits in the last 90 days. Key capabilities include image annotation, video annotation, and text annotation. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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