The foundational dataset containing 500 video clips of 50 different identity document types, including passports, ID cards, and driving licenses from various countries.

(often referenced as a successor to MIDV-500) is a comprehensive benchmark dataset designed for the development and evaluation of identity document analysis and recognition systems. It specifically addresses the critical challenge of data scarcity in the field of document analysis, caused by the sensitive nature of real identity documents and privacy regulations. The Evolution of MIDV Datasets

An extension of the original dataset that introduced distorted and low-light images to test the robustness of recognition algorithms under difficult conditions.