TCMP-300 (Traditional Chinese Medicinal Plant Dataset)

Traditional Chinese medicinal plants are often used to prevent and treat diseases for the human body. Since various medicinal plants have different therapeutic effects, plant recognition becomes an important topic. Traditional identification of medicinal plants mainly relies on human experts, which does not meet the increased requirements in clinical practice. Artificial Intelligence (AI) research for plant recognition faces challenges due to the lack of a comprehensive medicinal plant dataset. Therefore, we present a Chinese medicinal plant dataset that including 52089 images in 300 categories. Compared to the existing medicinal plant datasets, our dataset has more categories and fine-grained plant parts to facilitate comprehensive plant recognition. The plant images were collected through the Bing search engine and cleaned by a pretrained vision foundation model with human verification. Our dataset promotes the development and validation of advanced AI models for robust and accurate

传统中医用药植物常被用于预防和治疗人体疾病。鉴于不同药用植物具有各自独特的治疗功效，植物识别遂成为一项关键议题。传统的药用植物鉴定主要依赖人类专家，但这一方法已无法满足临床实践日益增长的需求。鉴于植物识别的 AI 研究面临因缺乏全面药用植物数据集而带来的挑战，本研究团队特此推出一份包含 52089 张图片、300 个类别的中药植物数据集。与现有药用植物数据集相比，本数据集涵盖了更多类别，并对植物细部进行了精细划分，以促进全面植物识别技术的发展。植物图像通过 Bing 搜索引擎搜集，并由预训练的视觉基础模型进行清洗，并经人工验证以确保质量。本数据集的推出，旨在推动高级 AI 模型的研发与验证，以实现稳健且精确的植物识别。

AI搜集汇总

背景与挑战

背景概述

TCMP-300是一个包含300类中国传统药用植物的图像数据集，共计52,089张图像，具有细粒度植物部位划分，通过Bing搜索收集并经过严格清洗，旨在促进AI植物识别模型的发展。