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Instead of clean, flat flatbed scans, these datasets prioritize . This approach ensures that Computer Vision (CV) models trained on them can function reliably inside commercial smartphone applications.

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Where authors sometimes share direct download links to the cloud drives storing the massive video files.

: 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. This approach ensures that Computer Vision (CV) models

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Documents captured on smartphones are rarely perfectly flat; they are usually tilted. Using the dataset's corner annotations, developers train geometric transformation networks to digitally flatten the image for easier reading. 3. Optical Character Recognition (OCR)