Traditional Chinese Medicine Recognition Based on Target Detection

Traditional Chinese medicine (TCM) is widely used in China, but the large variety can easily lead to difficulties in visual identification. This study aims to evaluate the availability of target detection models to identify TCMs. We have collected images of 100 common TCMs in pharmacies, and use thr...

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Bibliographic Details
Published in:Evidence-based complementary and alternative medicine 2022-07, Vol.2022, p.1-9
Main Authors: Lv, Bijun, Wu, Liyao, Huangfu, Tianran, He, Jiaru, Chen, Wenying, Tan, Lu
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Chinese medicine
Classification
Deep learning
Herbal medicine
Medical research
Occlusion
Sensors
Traditional Chinese medicine
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Summary:Traditional Chinese medicine (TCM) is widely used in China, but the large variety can easily lead to difficulties in visual identification. This study aims to evaluate the availability of target detection models to identify TCMs. We have collected images of 100 common TCMs in pharmacies, and use three current mainstream target detection models: Faster RCNN, SSD, and YOLO v5 to train the TCM dataset. By comparing the metrics of the three models, the results show that the YOLO v5 model has obvious advantages in the recognition of a variety of TCM, the mean average accuracy of the YOLO v5 is 94.33% and the FPS has reached 75, this model has a smaller number of parameters and solves the problem of detection and occlusion for small targets. Our experiments prove that the target detection technology has broad application prospects in the detection of TCM.
ISSN:1741-427X
1741-4288
DOI:10.1155/2022/9220443