datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Watermark-or-Not-20K
Watermark-or-Not-20K Dataset
Overview
The Watermark-or-Not-20K dataset consists of 20,000 images annotated with binary labels indicating the presence or absence of a watermark. It is designed to support training and evaluation of models focused on watermark detection, which is useful for content filtering, copyright protection, and image moderation tasks.
Dataset Structure
Split: train
Number of samples: 20,000
Label Type: Categorical (2 classes)
Image… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Watermark-or-Not-20K.scenery_watermarksDataset for watermark classification (no_watermark/watermark)~22k images, 512x512, manually annotatedadditional info - https://github.com/qwertyforce/scenery_watermarks