README.md

---
dataset_info:
  features:
    - name: pair_id
      dtype: int64
    - name: clean_image
      dtype: image
    - name: watermarked_image
      dtype: image
  splits:
    - name: train
      num_examples: 5000
---

# Watermark Dataset

Paired clean / watermarked face images generated from CelebA.

Each row contains:
- `pair_id` — unique integer index
- `clean_image` — original 128×128 face crop
- `watermarked_image` — same image with a synthetic proof watermark overlay

## Usage

```python
from datasets import load_dataset

# Streaming
ds = load_dataset("GeraldNdawula/Watermark_Dataset", streaming=True, split="train")
for sample in ds:
    clean       = sample["clean_image"]         # PIL Image
    watermarked = sample["watermarked_image"]   # PIL Image

# Full load
ds = load_dataset("GeraldNdawula/Watermark_Dataset", split="train")
```