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MIDV-679 offers precise, [2]. This includes bounding boxes for documents and textual fields, making it exceptional for training object detection and Optical Character Recognition (OCR) models. 4. Challenging Scenarios The dataset deliberately introduces noise, such as: Extreme Angles: Low-perspective, oblique views.
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serves as the primary citation and foundational methodology for the expanded MIDV-679 dataset. ResearchGate coding examples for using this dataset in Python? results of the study - European Data Protection Board
refers to a significant expansion within the Mobile Identity Document Video (MIDV) dataset series, specifically designed to advance research in identity document analysis and recognition on mobile devices. ResearchGate Dataset Overview MIDV-679 is an extension of the earlier This commitment to technical quality, featuring a release
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