: Each entry typically includes ground truth for document boundaries, face locations, and text fields to support OCR and face detection research. Primary Research Applications
Before datasets like MIDV-250 existed, many document recognition systems were trained on static, high-quality scans. While effective in a controlled office environment, these systems often failed in the real world. MIDV-250 addresses several "in-the-wild" challenges: MIDV-250
with synthetic personal data—including artificially generated faces and text—to ensure privacy compliance while maintaining visual realism. Компьютерная оптика : Each entry typically includes ground truth for