相关实验视频

Updated: Apr 30, 2026

HPLC Coupled with Chemical Fingerprinting for Multi-Pattern Recognition for Identifying the Authenticity of Clematidis Armandii Caulis

HPLC Coupled with Chemical Fingerprinting for Multi-Pattern Recognition for Identifying the Authenticity of Clematidis Armandii Caulis

Published on: November 11, 2022

TCMP-300:一个全面的中国传统药用植物数据集,用于植物识别

Yanling Zhang¹, Wanhui Sun¹, Chuanguang Yang²

¹School of pharmacy, Xinyang Agriculture and Forestry University, Xinyang, 464000, China.

Scientific data

|July 9, 2025

概括

一个新的中国传统药用植物 (TCMP) 图像数据集帮助人工智能 (AI) 进行植物识别. 这一全面的数据集达到89.64%的准确性,推进了人工智能用于准确识别药用植物的准确性.

科学领域:

植物学植物学
计算机科学计算机科学
药理学药理学是指药理学的学科.

背景情况:

传统中国药用植物 (TCMP) 对于预防和治疗疾病至关重要.
精确的植物识别是非常重要的,因为不同的治疗效果.
目前依赖专家的识别方法不足以满足临床需求,AI研究受到有限数据集的阻碍.

研究的目的:

引入中国传统药用植物 (TCMP) 的综合数据集,以推进人工智能驱动的植物识别.
促进开发和验证可靠的人工智能模型,以准确识别药用植物.

主要方法:

在300个类别中策划了52,089张TCMP图像的数据集.
图像是通过Bing搜索获取的,并使用预训练的视觉基础模型与人类验证进行了改进.
最先进的图像分类模型和先进的数据增强被用于技术验证.

主要成果:

开发的TCMP数据集包含了比现有的数据集更多的类别和更精细的工厂部件细节.
使用先进的人工智能模型进行技术验证,数据集的准确性达到89.64%.
该数据集支持全面和细粒度植物识别.

结论:

提交的TCMP数据集显著提高了用于药用植物识别的AI能力.
本资源促进了先进的人工智能模型的开发和验证,以在临床和研究环境中准确识别植物.

更多相关视频

Visualization of Metabolites Identified in the Spatial Metabolome of Traditional Chinese Medicine Using DESI-MSI

Visualization of Metabolites Identified in the Spatial Metabolome of Traditional Chinese Medicine Using DESI-MSI

Published on: December 16, 2022

Preparation of Gynura bicolor DC samples for High-Resolution Tandem Mass Spectrometry

Preparation of Gynura bicolor DC samples for High-Resolution Tandem Mass Spectrometry

Published on: February 2, 2024

相关概念视频

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.