Their custom PaddleOCR-based system achieves the best F1 (0.46), fastest latency (0.17 s/image), and lowest cost ($0.006/1k images) among seven OCR systems on a private 54-language benchmark.
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
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abstract
We present MMOCR-an open-source toolbox which provides a comprehensive pipeline for text detection and recognition, as well as their downstream tasks such as named entity recognition and key information extraction. MMOCR implements 14 state-of-the-art algorithms, which is significantly more than all the existing open-source OCR projects we are aware of to date. To facilitate future research and industrial applications of text recognition-related problems, we also provide a large number of trained models and detailed benchmarks to give insights into the performance of text detection, recognition and understanding. MMOCR is publicly released at https://github.com/open-mmlab/mmocr.
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E-ARMOR: Edge case Assessment and Review of Multilingual Optical Character Recognition
Their custom PaddleOCR-based system achieves the best F1 (0.46), fastest latency (0.17 s/image), and lowest cost ($0.006/1k images) among seven OCR systems on a private 54-language benchmark.