README.md

metadata

license: cc-by-nc-4.0
pretty_name: HIM-2K
task_categories:
  - image-segmentation
tags:
  - human-instance-matting
  - alpha-matte
  - matting

HIM-2K

HIM-2K is a human instance matting benchmark introduced in "Human Instance Matting via Mutual Guidance and Multi-Instance Refinement" (InstMatt, Sun et al., CVPR 2022). Please cite the original authors and respect the non-commercial (CC BY-NC 4.0) license.

Schema

One row per image:

• image — the RGB photo (datasets.Image).
• mask — a list of per-instance alpha mattes for that image (List(Image(...))); each element is one human instance alpha, ordered by the instance index in the source archive.
• subset — "comp" or "natural" (matches the split name).

Splits

• comp — 1680 composited images.
• natural — 320 natural images.

The images/natural_wo_gt portion of the original archive is excluded here because it has no ground-truth alpha mattes.

Citation

@inproceedings{sun2022instmatt,
  title     = {Human Instance Matting via Mutual Guidance and Multi-Instance Refinement},
  author    = {Sun, Yanan and Tang, Chi-Keung and Tai, Yu-Wing},
  booktitle = {CVPR},
  year      = {2022}
}