MIDV-720 is a public dataset created for research on document image processing and visual information extraction. It focuses on real-world conditions and privacy-preserving scenarios, making it especially useful for developing and evaluating robust OCR, document detection, layout analysis, and identity-document recognition systems.

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The creators printed mock ID documents—such as passports and driver's licenses—on photo paper and laminated them to mimic real-world reflections. Evolution to MIDV-720:

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