The MIDV-260 (Mobile Identity Document Video) dataset is a comprehensive collection of video clips and annotated images designed to train and evaluate machine learning models for document recognition. It addresses the growing need for robust Optical Character Recognition (OCR) and document localization systems, particularly in mobile environments where lighting, angles, and focus vary significantly. This report outlines the structure, annotation methodology, and practical applications of the MIDV-260 dataset.
Panasonic Lens with an aperture of F1.8 (Wide) to F4.2 (Tele) . Resolution:0;b4e; Supports 1080/50p recording at 28Mbps. midv260 full