2020-2021年新疆荒漠植物深度学习识别图像数据集

数据集包含新疆准噶尔盆地荒漠植物图像15550张，涵盖19种荒漠植物。数据集图像采集工作由从事图像识别研究的技术人员按照标准操作流程进行，经过植物分类专家后期的实验室分析与鉴定确定植物物种，保证荒漠植物图像分类准确，服务于后期训练。

This dataset comprises 15,550 images of desert plants from the Junggar Basin, Xinjiang, covering 19 desert plant species. The images were collected by technical personnel engaged in image recognition research following standard operating procedures. Subsequently, plant taxonomic experts conducted laboratory analysis and identification to confirm the plant species, ensuring the accuracy of the desert plant image classification for subsequent model training.

搜集汇总

背景与挑战

背景概述

该数据集包含2020-2021年新疆准噶尔盆地荒漠植物的15550张图像，涵盖19种植物，经过专业采集和专家鉴定，分类准确，专为深度学习识别训练设计。数据通过国家农业科学数据中心有条件共享，需申请获取。