---
license: mit
pretty_name: P3M-10K
task_categories:
  - image-segmentation
tags:
  - image-matting
  - portrait-matting
  - alpha-matte
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: P3M_500_P
        path: data/P3M_500_P-*
      - split: P3M_500_NP
        path: data/P3M_500_NP-*
---

# P3M-10K

**P3M-10K** (Privacy-Preserving Portrait Matting) is a large-scale portrait matting
benchmark. It is redistributed here from the original release by
[JizhiziLi/P3M](https://github.com/JizhiziLi/P3M).

If you use this dataset, please cite the original paper:

> Jizhizi Li, Sihan Ma, Xin Zhang, Dacheng Tao.
> **"Privacy-Preserving Portrait Matting."** *ACM International Conference on
> Multimedia (ACM MM), 2021.*

## Contents

Each example is a portrait RGB image and its corresponding **alpha matte**:

| Column  | Type    | Description                              |
|---------|---------|------------------------------------------|
| `image` | `Image` | RGB portrait image                       |
| `mask`  | `Image` | Alpha matte (soft foreground opacity)    |

Note: `mask` is the **alpha matte**, not a binary segmentation map.

## Splits

| Split        | Rows | Image source            | Description                                            |
|--------------|------|-------------------------|--------------------------------------------------------|
| `train`      | 9421 | `blurred_image` (privacy) | Training set with face-blurred portraits             |
| `P3M_500_P`  | 500  | `blurred_image` (privacy) | Validation set, **P**rivacy (face-blurred) portraits |
| `P3M_500_NP` | 500  | `original_image`        | Validation set, **N**on-**P**rivacy (unblurred) portraits |

The schema is **identical across all three splits** (`image` + `mask`).

## Dropped columns

The original release also ships `fg/` (foreground) and `bg/` (background) for the
training set, and `trimap/` for the validation sets. These were **dropped** to keep
a clean, consistent two-column schema (`image`, `mask`) across all splits.

## License

Released under the **MIT License**, matching the original
[P3M-10K Dataset Release Agreement (MIT License)](https://github.com/JizhiziLi/P3M).
Please review and abide by the original agreement.