The "260" in its name refers to the specific count and variety of document samples, providing 130 images for each of the 20 document types. These are captured under "realistic" conditions—meaning they include the common challenges mobile apps face, such as varying lighting, shadows, and perspective distortions. Key Technical Specifications : 2,600 frames. Variety : 20 distinct identity document types.
Prior to MIDV-260, many researchers relied on synthetic data or small, closed datasets. MIDV-260 bridged the gap by providing a large-scale, publicly available dataset that introduced "wild" variables. It has become a standard reference in academic papers regarding document analysis and is frequently used to benchmark the accuracy of state-of-the-art algorithms. midv260 full
The dataset is a specialized collection of data used for training and testing computer systems to recognize and analyze identity documents , such as passports, ID cards, and driver's licenses. The "260" in its name refers to the
The "260" in MIDV-260 refers to the specific number of identity document template classes contained within the dataset. Variety : 20 distinct identity document types
