MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

• URL: http://arxiv.org/abs/2108.06543v1
• Date: Sat, 14 Aug 2021 14:10:23 GMT
• Title: MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
• Authors: Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, Dahua Lin
• Abstract summary: MMOCR is an open-source toolbox for text detection and recognition. It implements 14 state-of-the-art algorithms, which is more than all the existing open-source OCR projects we are aware of to date.
• Score: 70.16678926775475
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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