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BRPOD123/birefnet-lite-512
birefnet-lite-512 is a image segmentation model from BRPOD123. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for transformers.js. The card lists the license as mit.
Verbatim mirror of studioludens/birefnet-lite-512 (MIT), pinned for the BRPOD print-on-demand decorator's client-side background removal. Fixed 512x512 input; onnx/modelfp16.onnx (94 MB) is what the decorator loads on…
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From the Hugging Face model README
Verbatim mirror of studioludens/birefnet-lite-512 (MIT), pinned for the
BRPOD print-on-demand decorator's client-side background removal. Fixed 512x512 input; onnx/model_fp16.onnx (94 MB) is what the decorator loads on the WASM backend, onnx/model.onnx (fp32, 183 MB) is kept as a fallback. Output is single-channel logits (transformers.js applies sigmoid).
Upstream weights: ZhengPeng7/BiRefNet_lite (MIT).
The ONNX export methodology and files come from the source repo above; nothing was retrained
or modified. Both config.json and preprocessor_config.json are byte-identical to the source.
Do not modify this repo in place. Publish changes as new commits and bump the pinned
revision in BRPOD's backgroundRemovalService.ts, which loads this repo by commit sha.
@article{zheng2024birefnet,
title={Bilateral Reference for High-Resolution Dichotomous Image Segmentation},
author={Zheng, Peng and Gao, Dehong and Fan, Deng-Ping and Liu, Li and Laaksonen, Jorma and Ouyang, Wanli and Sebe, Nicu},
journal={CAAI Artificial Intelligence Research},
year={2024}
}