_best_ - Midv-112

The story of MIDV-112 began on a crisp autumn morning when Dr. Elara Vex, a brilliant AI researcher, arrived at NeuroSpark. She had been recruited from a top-secret government agency where she worked on advanced surveillance systems. Elara was tasked with leading a team to develop an AI capable of identifying and predicting criminal activities with uncanny accuracy. This was MIDV-112.

is a dataset subset from the MIDV (Mobile Identity Document Video) family used for research on document detection, OCR, and identity-document recognition from images and video. MIDV-112 contains 112 document types (IDs, passports, bank cards, etc.) with controlled imaging variations (lighting, viewpoint, background, occlusions) designed for benchmarking computer-vision algorithms. MIDV-112