2021 · 67 citations · 24 references
Natural Language ProcessingImage AnalysisMachine LearningData ScienceEngineeringPattern RecognitionText RecognitionOptical Character RecognitionEntity RecognitionComputer ScienceCharacter RecognitionText ProcessingComprehensive PipelineKey Information ExtractionDocument ProcessingText MiningMachine TranslationSpeech Recognition
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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