: Complex textures, hands holding the document, and messy backgrounds.
: It supports thousands of identity documents from over 190 countries. The User Experience Capture : The user takes a photo of their ID. midv250 verified
The MIDV datasets were created by researchers at Smart Engines (Moscow) in collaboration with several European universities. Because real identity documents are protected by privacy and security regulations, public‑domain datasets are extremely scarce. The MIDV family solved this problem by generating that contain no real personal data, while still preserving the visual appearance, text fields, and security features of real IDs. : Complex textures, hands holding the document, and
This is where the term comes into play. Originating from the Mobile Identity Video Dataset (MIDV), this standard has become a cornerstone for developers, security experts, and compliance officers working on automated document recognition. What is MIDV-250? The MIDV datasets were created by researchers at
of 250 documents from the larger MIDV collections (such as MIDV-500 or MIDV-2020) for benchmarking algorithms. Understanding the MIDV Context
Bulatov, K., et al. "MIDV-2020: A Large-Scale Dataset for Facial Video Analysis in Identity Document Verification." To help you further, would you like a Python snippet for loading these annotations or a more detailed marketing description for a product feature?