ZhengPeng7

weights

open(16 checkpoints on the Hub, none gated)

data

open(public segmentation benchmarks (DIS5K for the main model

code

open(training, loss and dataset code in the repository)

license

MIT(code and weights)

Code and weights are MIT-licensed, the training scripts are in the repository, and the main model was trained on DIS5K, a public dataset, with the variants adding other public matting and saliency sets. A few of those sets were not checked individually, which is why confidence is medium.

• https://huggingface.co/api/models?author=ZhengPeng7&sort=downloads&limit=100&expand[]=downloads&expand[]=cardData&expand[]=gated recorded 2026-09-27

  Sixteen ZhengPeng7 checkpoints, all gated false and tagged mit except BiRefNet-DIS5K-TR_TEs, which carries no license tag.

• https://huggingface.co/ZhengPeng7/BiRefNet/raw/main/README.md recorded 2026-09-27

  Model card: "license: mit"; "This BiRefNet for standard dichotomous image segmentation (DIS) is trained on **DIS-TR** and validated on **DIS-TEs and DIS-VD**."

• https://raw.githubusercontent.com/ZhengPeng7/BiRefNet/main/LICENSE recorded 2026-09-27

  LICENSE is the "MIT License", "Copyright (c) 2024 ZhengPeng".

• https://raw.githubusercontent.com/ZhengPeng7/BiRefNet/main/README.md recorded 2026-09-27

  README model zoo lists each checkpoint's training sets (DIS5K-TR; COD10K-TR and CAMO-TR; DUTS-TR, HRSOD-TR, UHRSD-TR; the general-use mix adds P3M-10k, AM-2k, HIM2K, Distinctions-646 and others), with the datasets "suggested to be downloaded from official pages".

• https://ungh.cc/repos/ZhengPeng7/BiRefNet/files/main recorded 2026-09-27

  Repository tree includes train.py, train.sh, dataset.py, loss.py, config.py and models/birefnet.py.

• https://xuebinqin.github.io/dis/index.html recorded 2026-09-27

  DIS project page: "Download (Newly Released Jul. 16, 2022) DIS5K Dataset (5,470)", split into DIS-TR (3,000), DIS-VD (470) and DIS-TE (2,000).

Hugging Face downloads over the trailing 30 days for the two declared checkpoints, the general model and the lite model; the other ZhengPeng7 checkpoints add comparatively little.

• https://huggingface.co/api/models?author=ZhengPeng7&sort=downloads&limit=100&expand[]=downloads&expand[]=cardData&expand[]=gated recorded 2026-09-27

  BiRefNet 798,071 and BiRefNet_lite 308,663 downloads in the trailing 30 days (1,106,734 together); all sixteen checkpoints sum to 1,273,908.

BiRefNet cuts the main subject out of any photo straight away, with no label set to retrain for, so a user's own images get a result from the shipped model directly. It does one task, foreground extraction, where Ultralytics spans many.

• https://huggingface.co/ZhengPeng7/BiRefNet/raw/main/README.md recorded 2026-09-27

  Model card gives an inference example that loads the checkpoint and predicts a foreground mask for an input image.

• https://raw.githubusercontent.com/ZhengPeng7/BiRefNet/main/README.md recorded 2026-09-27

  README describes "Bilateral Reference for High-Resolution Dichotomous Image Segmentation" and a model zoo of general-use, lite, 2K high-resolution, matting, portrait, COD and HRSOD checkpoints.