GeraldNdawula/Watermark_Removal_UNet
Image-to-Image • Updated
Search is not available for this dataset
pair_id int64 0 4k | clean_image unknown | watermarked_image unknown |
|---|---|---|
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1 | [
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26,
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... |
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4 | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABfqUlEQVR4nMX9SZMlSZImiPEii6q+zRbfPfbIyKzMqsqsrpreBhg(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABwhElEQVR4nMT9d7xlV3EnilfVCjucdPO9nXO3ckASEgIRJYLA2CZ(...TRUNCATED) |
5 | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABrXElEQVR4nMz9V7NlyXUmCC7lvsURV4TISI2EIECyyJomWewSXd1(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAAByG0lEQVR4nMz9Z7SmWXYWCG5zznnN564Lm5mRtirLZpXKqeSlxki(...TRUNCATED) |
6 | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABiC0lEQVR4nOz9WY9sWZYeiK1hD+ccm9z9DnEjorKyik0WKZJCQw1(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABqzklEQVR4nNT9V8xu63Yeho3yljnnV/626t777HMOT2EXKR4WiaK(...TRUNCATED) |
7 | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABxTElEQVR4nMz96bNkSXYfiJ3F3e8S69tfrpW1dFdXd4ONRmNIgAQ(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAAB5IklEQVR4nMz9eZSl23UXCO7hnPMNd4w5IufMl/me3qSnJ8nWbMt(...TRUNCATED) |
8 | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABrVklEQVR4nJz92ZJlSXYliO1BVc90Bxs83CNyQgKoArpRZFMolJa(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABvNklEQVR4nJz9WayuWZomBr3DWuub/mEPZ4iIHCoyq7KyqrqG7i5(...TRUNCATED) |
9 | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABmxklEQVR4nLz9WbMlyXUeCq7JPSL2cMYcawYKAiBQIEWRUkvdMul(...TRUNCATED) | "iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAABxS0lEQVR4nLz9Z7BtSXYeiC2TmXvv4659tt4r213VXV1d1d6gG2i(...TRUNCATED) |
End of preview. Expand in Data Studio
Watermark Dataset
Paired clean / watermarked face images generated from CelebA.
Each row contains:
pair_id— unique integer indexclean_image— original 128×128 face cropwatermarked_image— same image with a synthetic proof watermark overlay
Usage
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")
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