Midv-806 -

While primarily an OCR dataset, the quality variance in MIDV-806 assists in developing systems that distinguish between genuine document captures and screen presentation attacks (where a user shows a photo of an ID on a separate screen).

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The primary contribution of the MIDV series, including MIDV-806, is the shift from approaches to learning-based approaches. Historically, ID processing relied on hardcoded templates for specific countries. MIDV-806 facilitates the training of generalized models that can learn to extract information from document types they may not have explicitly seen before (Zero-shot learning), simply by understanding the structure of identity documents in general. While primarily an OCR dataset, the quality variance