| --- |
| 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") |
| ``` |
|
|
