BLISS-e-V/SCAM
SCAM Dataset Dataset Summary SCAM is the largest and most diverse real-world typographic attack dataset to date, containing images across hundreds of object categories and attack words. The dataset is designed to study and evaluate the robustness of multimodal foundation models against typographic attacks. Usage: from datasets import load_dataset ds = load_dataset("BLISS-e-V/SCAM", split="train") print(ds) img = ds[0]['image'] For more information, check out… See the full description on the dataset page: https://huggingface.co/datasets/BLISS-e-V/SCAM.
| Author / organization | BLISS-e-V |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 261 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 3 April 2025 |
| Last updated at source | 28 April 2026 |
Recent changes
- 16 Oct 2026 Description: SCAM Dataset Dataset Summary SCAM is the largest and most diverse real-world typographic attack dataset to date, containing images across hundreds of object categories and attack words. The dataset is designed to study and evaluate the robu → SCAM Dataset Dataset Summary SCAM is the largest and most diverse real-world typographic attack dataset to date, containing images across hundreds of object categories and attack words. The dataset is designed to study and evaluate the robu
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