Midv178 !!exclusive!! Jun 2026

is a specialized, open-source dataset designed for training and benchmarking computer vision models in document analysis, specifically focusing on mobile-captured identity documents under challenging real-world conditions . Developed as part of the Mobile Identity Document Video (MIDV) series, this dataset addresses the critical need for robust algorithms capable of accurately recognizing, tracking, and parsing passports, driver's licenses, and ID cards filmed with smartphones. Overview of MIDV-178

The primary purpose of MIDV-178 is to provide researchers and developers with a diverse set of video frames that mimic how users interact with identity verification (KYC) systems in real life. Unlike pristine flatbed scans, mobile-captured documents suffer from environmental distortions. Core Components

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: Users rarely hold their phones perfectly parallel to an ID card. The dataset includes severe pitch, roll, and yaw angles.

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identity document datasets), please let me know so I can provide the correct preparation steps for those specific libraries. Could you clarify if you are referring to a machine learning dataset or a different technical project?

The dataset is designed to be highly representative of varied, real-world conditions. It contains a diverse set of documents, including both real and synthetic, fake, or mock-up documents to protect privacy while ensuring algorithmic robustness [1].

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