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Understanding the MIDV Dataset Family: A Deep Dive into "midv260 full" and Identity Document Analysis

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It addresses the challenges of recognizing identity documents (Passports, ID cards, Driver's licenses) captured using mobile devices in diverse, real-world conditions. What is in the "Full" MIDV-260?

MIDV-2020 was developed to address the scarcity of diverse, publicly available datasets for identity document (ID) recognition. It provides a high-variability benchmark for tasks such as document detection, text field recognition, and fraud prevention using mock documents with artificially generated faces and data to comply with security requirements. ResearchGate 2. Dataset Composition The dataset contains 72,409 annotated images in total, making it one of the largest in its field. Компьютерная оптика Unique Documents : 1,000 unique mock identity documents. Media Types 1,000 Video Clips

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