BiRefNet_lite-ONNX is a lightweight ONNX model for high-resolution dichotomous image segmentation, including background removal and object detection. It is designed for machine learning researchers and developers who require efficient segmentation models for their applications.
In the Other AI space, BiRefNet Lite takes a focused approach. It focuses on providing a lightweight solution for high-resolution image segmentation and object detection for developers. BiRefNet Lite is an open-source project aimed at machine learning researchers. The project is open source (MIT). BiRefNet Lite is available on the command line.
baby2008 builds and maintains BiRefNet Lite, and the product first shipped in 2022. The project is developed in the open on GitHub with 3.9k stars and 3 commits in the last 90 days. Across PulseGate's embedding index, BiRefNet Lite has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are image segmentation, background removal, and mask generation.
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