Datasetpublic

chamee30/ai-generated-video-watermark-patterns

AI-Generated Video & Image Watermark Spatial Dataset A reference coordinate dataset mapping visible logo overlays, positional anchors, and aspect-ratio bounds across leading generative video and image models (Dola AI, Google Veo, Gemini, and Nano Banana). Dataset Summary Generative media platforms frequently place deterministic or semi-transparent visual badges on generated outputs. This dataset compiles bounding-box coordinates, average pixel offsets, and optimal… See the full description on the dataset page: https://huggingface.co/datasets/chamee30/ai-generated-video-watermark-patterns.

sourceHugging Facemitupdated 8d agoView on Hugging Face

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Dataset Card

AI-Generated Video & Image Watermark Spatial Dataset

A reference coordinate dataset mapping visible logo overlays, positional anchors, and aspect-ratio bounds across leading generative video and image models (Dola AI, Google Veo, Gemini, and Nano Banana).

Dataset Summary

Generative media platforms frequently place deterministic or semi-transparent visual badges on generated outputs. This dataset compiles bounding-box coordinates, average pixel offsets, and optimal client-side restoration algorithms (such as boundary interpolation, alpha inversion, and border cropping).

Models Analyzed & Benchmarks

Platform / Model	Type	Typical Placement	Optimal Local Processing
Dola AI	Video / Image	Bottom-Right (87% Top, 78% Left)	Soft Boundary Fill & Bottom Crop
Google Veo	Video	Bottom-Right	Direct Inversion Matrix
Google Gemini	Image	Bottom-Right Corner	Pixel Mathematical Unblend
Nano Banana	Image	Corner Logo	Boundary Inpainting

Live Browser Implementation

A pure client-side implementation of these algorithms (operating 100% locally in browser memory without server uploads) can be tested at:

—[DigVibes Dola AI Watermark Remover](https://digvibes.com/dola-ai-watermark-remover/) - Complete browser video/image editor.
—[DigVibes Creative Utilities Hub](https://digvibes.com/tools/) - Full suite of generative cleanup tools.
—[Google Veo Video Remover](https://digvibes.com/veo-watermark-remover/) - MP4 video de-blending engine.

Usage with Pandas

python

import pandas as pd

url = "[https://huggingface.co/datasets/chamee30/ai-generated-video-watermark-patterns/raw/main/data.csv](https://huggingface.co/datasets/chamee30/ai-generated-video-watermark-patterns/raw/main/data.csv)"
df = pd.read_csv(url)
print(df.head())