Sugar Cane - Spittle Bug

This data set provides 12,000 images for individual pest bugs in sugar cane crops, collected from pictures taken in yellow square traps on field, which are used to monitoring the pest presence and population. Data set is divided half for special bug of interest, spittle bug (Aeneolamia varia) which will be the True data set, and half for other insects in the trap which will be the False Data set. The data set is useful but not only, to train Convolutional Neural Networks – CNN, for binary classification (True/False). Data set images are in different sizes.

本数据集包含12000张取自甘蔗作物田间黄色方形诱捕器拍摄的单只害虫图像，用于监测害虫的存在与种群数量。数据集被均分为两个子集：一半为目标害虫沫蝉（Aeneolamia varia），作为正样本数据集（True Dataset）；另一半为诱捕器内捕获的其他昆虫，作为负样本数据集（False Dataset）。该数据集可用于（不限于）训练卷积神经网络（Convolutional Neural Networks, CNN）以完成二分类（正/负样本）任务。数据集内的图像尺寸各不相同。