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inclusionAI/advspot-public

AdvSpot AdvSpot is the first grounded adversarial OCR benchmark, introduced in the paper ArmorOCR: Grounded Adversarial Visual Perception via Observation-Transferred Self-Distillation. It targets visual text patterns that are readable to humans but challenging for multimodal large language models (MLLMs) to localize and recognize, and evaluates models with region-level annotations: bounding boxes, transcriptions, perception-type labels, and region-grounded VQA pairs. This… See the full description on the dataset page: https://huggingface.co/datasets/inclusionAI/advspot-public.

Author / organizationinclusionAI
License (as declared)apache-2.0
Downloads293 (as reported by Hugging Face)
Likes3
Created21 September 2026
Last updated at source23 September 2026
ocradversarial-ocrgrounded-ocrbenchmarkvisual-question-answeringmultimodalvision-languagevqa
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