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MIDV-699 — Informative Report
Overview
MIDV-699 is a dataset used for research in document analysis and optical character recognition (OCR), particularly for identity document (ID) recognition. It extends earlier MIDV datasets by providing a larger, more varied collection of identity-document-like images with controlled variations and ground-truth annotations to support development and evaluation of detection, segmentation, alignment, and OCR algorithms.
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Typical use cases
- Training and evaluating document detection models (e.g., bounding-box or polygon detectors).
- Testing document rectification and homography estimation methods.
- Benchmarking OCR pipelines on field-level transcription tasks.
- Research on robustness to real-world capture variability (blur, noise, lighting).