Finding the "quadrangle" of the ID in a messy real-world video frame. Per-Field Segmentation: Isolating the name, date of birth, and ID number. OCR / Fields Recognition:
The MIDV-UP dataset is just the latest branch of a family tree designed to solve the "data scarcity" problem in ID analysis: Core Focus Key Feature Initial benchmark 500 clips of 50 document types. Scale and complexity 1,000 unique mock documents with generated data. Multilingual support Focused on Perso-Arabic, Thai, and Indian scripts. Forensic security Specifically designed to detect and validate holograms. Why This Matters for Your AI Models If you are building a document recognition pipeline, the Smart Engines Research Team midv250
MIDV-250, a strain of the Lassa virus, has garnered significant attention in recent years due to its high mortality rate and potential for widespread outbreak. The Lassa virus, a member of the Arenaviridae family, is a zoonotic pathogen that primarily affects humans in West Africa. MIDV-250, in particular, has been identified as a highly virulent strain, with a mortality rate significantly higher than other strains of the virus. This paper aims to provide an in-depth analysis of MIDV-250, including its history, epidemiology, clinical manifestations, diagnosis, treatment, and prevention strategies. Finding the "quadrangle" of the ID in a
You can typically find this dataset by searching for "MIDV dataset" on Kaggle or academic repositories. Note that midv250 might be a subset of a larger dataset family (like MIDV-500 or MIDV-2000). Scale and complexity 1,000 unique mock documents with
