: To provide diverse, high-quality images and video clips of mock identity documents for training and testing OCR and fraud detection models.
: Recent iterations like MIDV-UP expand the scope to include scripts like Perso-Arabic (Urdu/Persian), addressing the lack of datasets for specific regional documents. Document Liveness Challenge Dataset (DLC-2021) - PMC - NIH MIDV-250
The "250" variant is often used as a benchmark for or when testing the efficiency of OCR (Optical Character Recognition) and document localization algorithms. Primary Research Uses : To provide diverse, high-quality images and video