UAV-based visible-infrared dataset for estimation of rice blast resistance

Experimental data of “A parallel resnet-transformer and cross-modal attention network for identification of rice blast resistance using UAV-based visible-infrared imagery”. This dataset contains the visible and infrared UAV imagery of 530 rice plots, and each plot covers one rice variety. The dataset was split into training, validation, and testing set with a ratio of 7:1:2.

本数据集为《基于无人机（Unmanned Aerial Vehicle, UAV）可见光-红外影像识别稻瘟病抗性的并行残差网络（Residual Network, ResNet）-Transformer与跨模态注意力网络》的实验数据集。该数据集包含530个水稻地块的可见光与红外无人机影像，每个地块仅种植单一水稻品种。数据集按照7:1:2的比例划分为训练集、验证集与测试集。