Supplementary Data for "Bawei Huanyang Powder Identification Using YOLOv10"

Published: 31 October 2024| Version 1 | DOI: 10.17632/3mp7jfg79w.1
Contributor:
立富

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

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