Readme
https://huggingface.co/ZhengPeng7/BiRefNet-legacy
This repo holds the weights of BiRefNet for general use trained on DIS5K-TR,DIS-TEs, DUTS-TR_TE,HRSOD-TR_TE,UHRSD-TR_TE, HRS10K-TR_TE (w/o portrait seg data).
Model created
men1scus/birefnet
Bilateral Reference for High-Resolution Dichotomous Image Segmentation (CAAI AIR 2024)
Examples
Run time and cost
This model costs approximately 0ドル.0020 to run on Replicate, or 500 runs per 1,ドル but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 2 seconds.