Supplementary Data for "Bawei Huanyang Powder Identification Using YOLOv10"
Published: 31 October 2024| Version 1 | DOI: 10.17632/3mp7jfg79w.1
Contributor:
立富 吴Description
This supplementary data document provides detailed visual support and methodology for the identification of Bawei Huanyang Powder using an improved YOLOv10 model. Included are 21 figures, each depicting microscopic characterizations of various components of the powder, as well as a concise method abstraction summarizing the key steps involved in the microscopic feature recognition process.
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Institutions
Yunnan University
Categories
Microbiology, Computer Vision, Microscopy, Botany, Machine Learning, Traditional Chinese Medicine, Deep Learning
Funding
National Natural Science Foundation of China
82260835
Yunnan University
ZC-24248339