Quality Data.

Mesurable Results.

Innovating computer vision demands quality data. Our evolving, open-source datasets mean our products never stop evolving either.

Open And Evolving Datasets

MIDV-500

Insufficient public datasets prevent the comprehensive study of AI-powered document recognition on mobile devices. Existing datasets can be useful for certain tasks, but they are not enough to create and test the technologies required for recognizing identity documents. Until now. The Smart Engines Mobile Identity Document Video dataset (MIDV-500) consists of 500 video clips covering 50 different identity document types. Since this kind of document contains personal data, all source material is either publicly available or copyright-free.

MIDV-2019

An extension of MIDV-500, the MIDV-2019 dataset contains additional video clips, shot with modern high-resolution mobile cameras, to address issues of projective distortions and variable lighting conditions.

Insufficient public datasets prevent the comprehensive study of AI-powered document recognition on mobile devices. Existing datasets can be useful for certain associated tasks, but they are not enough to create and test the technologies required for recognising identity documents. Until now. The Smart Engines Mobile Identity Document Video dataset (MIDV-500) consists of 500 video clips covering 50 different types of identity document. Since this kind of document contains personal data, all source images are either publicly available or do not infringe copyright.

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For questions about our products, research, people or project proposals, please get in touch.

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Test Drive Our Smart Engines

Free demo apps allow you to experience the power of Smart Engines software for intelligent document scanning in a real-world context.

Why not experience the power of Smart Engines for yourself? Our demo apps allow you to test the capabilities of our identity document recognition software on mobile devices in videostream or in a single image (photo, scan).

Simply display any document to the camera in real-time or choose a photo from the gallery, and the app will recognize and capture the necessary data.

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