Midv709 - Fixed

: Photos captured via smartphones under diverse, unconstrained lighting environments to introduce shadows and color shifting.

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: This is the primary "deep" source. It details a hands-on dataset for mobile identity document analysis in the wild. You can find the full research on ResearchGate or arXiv .

The dataset (often referred to as the MIDV-2020 or a specific fold of the MIDV family) is a specialized benchmark designed for the evaluation of Automatic Identification and Data Capture (AIDC) systems. It specifically addresses the challenges of video-based identity document recognition. Unlike static image datasets, MIDV-709 provides video streams captured by mobile devices, offering a robust testbed for developing algorithms resistant to motion blur, varying focus, and uncontrolled lighting conditions.