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: This paper introduces a massive benchmark dataset featuring 1,000 unique mock identity documents . It includes video clips, photos, and high-quality scans designed to train AI in document localization, OCR, and face recognition.

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The development of machine learning systems capable of recognizing identity documents in video streams requires large volumes of accurately annotated data. Due to strict privacy laws such as GDPR, real-world identification cards, driving licenses, and passports containing genuine personal identifiable information (PII) cannot be legally distributed or made publicly accessible for model training.