The dataset includes common mobile capture artifacts such as: Motion Blur: Caused by unsteady hands.
represents a major leap forward by significantly increasing the diversity of document types. It contains data for 578 different identity document types from around the world, including passports, ID cards, and driver's licenses. Key Features of MIDV-578 MIDV-578
Documents are often held in hands or placed on cluttered surfaces rather than clean scanners. Applications in AI and Security The dataset includes common mobile capture artifacts such
Developed as part of the broader series by researchers at the Institute for Information Transmission Problems and Moscow Institute of Physics and Technology, this dataset addresses the growing need for robust AI models capable of processing identity documents in uncontrolled, real-world environments. The Evolution of the MIDV Datasets Key Features of MIDV-578 Documents are often held
Before reading text, a system must "find" the document in a video frame. MIDV-578 provides the ground truth (exact coordinates) needed to train these detection models.