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

14 August 2021
Zhanghui Kuang
Hongbin Sun
Zhizhong Li
Xiaoyu Yue
T. Lin
Jianyong Chen
Huaqiang Wei
Yiqin Zhu
Tong Gao
Wenwei Zhang
Kai-xiang Chen
Wayne Zhang
Dahua Lin
    VLM
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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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