Researchers can often access this dataset through GitHub repositories maintained by Smart Engines (who also host the MIDV-500 and MIDV-2020 datasets) or through scientific data hosting platforms like or ResearchGate , where the accompanying papers describe the methodology in detail. Applications in AI and Computer Vision
Recognizing documents in a "controlled" environment (like a flatbed scanner) is relatively simple. However, MIDV-180 focuses on the "in-the-wild" challenges of mobile capture: midv-180
: Ensuring that names, dates, and ID numbers can be read even when the video quality is suboptimal. Researchers can often access this dataset through GitHub
The MIDV-180 dataset is widely used in academic research and by developers of OCR (Optical Character Recognition) software. It is typically structured into two main parts: The MIDV-180 dataset is widely used in academic
The is a specialized collection of video data designed for the development and benchmarking of document analysis and recognition systems. Created by researchers at the Smart Engines company and the Institute for Information Transmission Problems (RAS), this dataset addresses a critical need in the field of mobile document scanning: the ability to recognize identity documents in diverse, real-world conditions. What is MIDV-180?
If you could provide more context or details about the Midv-180, such as what it is used for or its brand, I could potentially offer more specific advice or guidance.