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Showing content from https://github.com/ZHKKKe/PPM below:

ZHKKKe/PPM: A High-Quality Photograpy Portrait Matting Benchmark

- A Photography Portrait Matting Benchmark -

[Jul 20 2021] PPM-100 Benchmark is Released!
The benchmark with 100 finly-annotated, high-resolution images (PPM-100) is released.

PPM is a portrait matting benchmark with the following characteristics:

Fine Annotation - All images are labeled and checked carefully.
Natural Background - All images use the original background without replacement.
Rich Diversity - The images cover full/half body and various postures.
High Resolution - The resolution of images is between 1080p and 4k.

Below is an example image:

Currently, PPM-100 used in the MODNet paper is available.
Note that few images used in the MODNet paper are replaced by similar images due to license issues.
You can download PPM-100 from:
Google Drive | 百度网盘 (提取码: PPMB)

All original portrait images in PPM are from Flickr and constrained by Flickr Creative Commons License (Commercial use & mods allowed).
All annotated alpha mattes in PPM are released under the Creative Commons Attribution NonCommercial ShareAlike 4.0 license.

If you use this PPM benckmark, please cite:

@InProceedings{MODNet,
  author = {Zhanghan Ke and Jiayu Sun and Kaican Li and Qiong Yan and Rynson W.H. Lau},
  title = {MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition},
  booktitle = {AAAI},
  year = {2022},
}

This repository is currently maintained by Zhanghan Ke (@ZHKKKe).
If there is any question, please contact kezhanghan@outlook.com.

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