Midv-250

is a publicly available dataset of identity document images used for research in document analysis, optical character recognition (OCR), and identity-document detection and recognition. It contains a large set of scanned and photographed ID card images with ground-truth annotations (bounding boxes, OCR labels, document classes) intended for training and evaluating models that read and verify identity documents under varied conditions.

Conclusion: MIDV-250 is a pragmatic and technically rich resource for advancing document OCR and detection. Its use should be guided by careful ethical considerations, thoughtful dataset handling, and a commitment to developing systems that are robust, fair, and privacy-conscious. MIDV-250

: To protect personal information, many documents in later versions (like MIDV-2020) use artificially generated faces and unique text field values. Real-World Conditions is a publicly available dataset of identity document

Then one morning, the MIDV-250 recorded a scene so small she might have missed it if the device had not insisted: a child, no more than six, finding a token in the gutter—a carved wooden charm stamped with the familiar black emblem. The child held it up as if testing a coin. The module attached a tag: "Origin: unknown. Recommendation: local inquiry." Maia felt a prickle of unease. The charm’s design had been surfacing in so many places lately—pinned maps, tucked letters, unclaimed objects. The Meridian’s logs hinted at something older, something that had been migrating like a rumor. Its use should be guided by careful ethical