Midv-578 Official

Documents are often held in hands or placed on cluttered surfaces rather than clean scanners. Applications in AI and Security

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 MIDV-578

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 Documents are often held in hands or placed

The dataset is engineered to simulate the "noise" of real-world mobile interactions. Key technical characteristics include: It contains data for 578 different identity document

The original collection featuring 500 video clips of 50 different identity document types. It focused on the basic challenges of mobile capture, such as perspective distortion and varying lighting.