Midv699 2021 Full Jun 2026
MIDV-699 Full is a public dataset of 699 ID document images intended for research on document detection, recognition (OCR), and identity-document-related computer vision. It contains photographs of various identity documents captured in realistic conditions with variation in orientation, lighting, background, and occlusion.
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I can provide a customized code snippet to help you parse the dataset's JSON annotations! MIDV-699 Full is a public dataset of 699
Before an AI can read a document, it must isolate it from the rest of the image. MIDV-699 provides precise boundary coordinates, allowing algorithms to accurately crop out background noise, even when the document matches the color of the table it sits on. 2. Optical Character Recognition (OCR) Before an AI can read a document, it
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Perspective skew, camera shake, motion blur, and specular glare 4-point quadrilateral coordinates for document boundaries OCR Text Masks Character-level and line-level text bounding boxes Real-World Challenges Simulated in MIDV-699