birefnet-lite-onnx is an open-source ONNX model for image segmentation and background removal. It is designed for computer vision developers and researchers, supporting integration with popular libraries and offering open weights for customization and deployment.
In the Other AI space, Birefnet Lite takes a focused approach. It focuses on automating image segmentation and background removal for developers and researchers. Birefnet Lite is an open-source project aimed at computer vision developers. Birefnet Lite is open source under the MIT license. It runs on the web, the command line, and API, and it can be self-hosted.
Ko033 builds and maintains Birefnet Lite, and it first shipped in 2023. The project is developed in the open on GitHub with 501 stars and 10 commits in the last 90 days. Among its 5 catalogued features are image segmentation, background removal, and ONNX format.
Summary written by a language model from the project’s public pages.
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