Midv-578 〈DIRECT × 2026〉

It covers document formats from nearly every continent, ensuring that OCR (Optical Character Recognition) models trained on it are not biased toward a specific country's design or alphabet.

The original collection featuring 500 video clips of 50 different identity document types. It focused on the basic challenges of mobile capture, such as perspective distortion and varying lighting. MIDV-578

The dataset is engineered to simulate the "noise" of real-world mobile interactions. Key technical characteristics include: It covers document formats from nearly every continent,

is a prominent technical dataset specifically designed for the development and benchmarking of document analysis and recognition (DAR) systems . MIDV-578

Before reading text, a system must "find" the document in a video frame. MIDV-578 provides the ground truth (exact coordinates) needed to train these detection models.