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Watermark-Detection-SigLIP2
Rishabh5150/Watermark-Detection-SigLIP2
Watermark-Detection-SigLIP2 is a image classification model from Rishabh5150. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- siglip
- Access
- Public
- Created
- Jul 31, 2025
- Updated
- Jul 31, 2025
- SHA
- 4ef35560
Base models
Datasets
Model card
From the Hugging Face model README
Watermark-Detection-SigLIP2
Watermark-Detection-SigLIP2 is a vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for binary image classification.
It detects whether an image contains a watermark or not, using the SiglipForImageClassification architecture.
⚠️ Note: Watermark detection works best with high-quality, crisp images. Avoid noisy inputs.
📄 Paper: SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
https://arxiv.org/pdf/2502.14786
📊 Classification Report
precision recall f1-score support
No Watermark 0.9290 0.9722 0.9501 12779
Watermark 0.9622 0.9048 0.9326 9983
accuracy 0.9427 22762
macro avg 0.9456 0.9385 0.9414 22762
weighted avg 0.9435 0.9427 0.9424 22762
- Task
- Image Classification
- Library
- transformers
- Type
- siglip
- License
- apache-2.0
- Languages
- en
- Created
- Jul 31, 2025
- Updated
- Jul 31, 2025