[MIDV-500] (2018) --> [MIDV-2020] (2021) --> [MIDV-Holo / MIDV-UP] (2025/2026) • 50 ID types • 72,409 images • Hologram & OVD analysis • Basic video OCR • Synthetic unique faces • Non-Latin script expansion
[2107.00396] MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis
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Companies had to build their own datasets, which was expensive and legally complex regarding privacy (GDPR/CCPA). Open datasets often lacked attack samples, meaning companies couldn't test their defenses. [MIDV-500] (2018) --> [MIDV-2020] (2021) --> [MIDV-Holo /
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. Originally introduced to resolve the absolute scarcity of publicly available, GDPR-compliant identity document data, the MIDV project has evolved from basic video stream analysis into highly sophisticated benchmarks for machine learning engineers. Today, these specialized datasets—such as MIDV-500 , MIDV-2019, MIDV-2020, MIDV-LAIT, and the newly integrated image manipulation variants like MIDV-DM—serve as the global standard for training Optical Character Recognition (OCR), semantic segmentation, and fraud detection algorithms. Companies had to build their own datasets, which
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