metrika-labs/ru-ocr-benchmark-hard

A benchmark for evaluating OCR in Russian, consisting of two parts: pages and crops. The pages part contains 155 images covering 31 source documents in five variants: originals, scans, low-quality images, print defects, and distortions. Reference text and coordinates for each character enable evaluation of complete OCR pipelines. The crops part contains 3,182 ready-made text crops for evaluating text recognition independently of detection. Both parts include challenging examples with varied… See the full description on the dataset page: https://huggingface.co/datasets/metrika-labs/ru-ocr-bench

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