Multiclass Weeds Dataset for Image Segmentation

The Multiclass Weeds Dataset for Image Segmentation comprises two species of weeds: Soliva Sessilis (Field Burrweed) and Thlaspi Arvense L. (Field Pennycress). Weed images were acquired during the early growth stage under field conditions in a brinjal farm located in Gorakhpur, Uttar Pradesh, India. The dataset contains 7872 augmented images and corresponding masks. Images were captured using various smartphone cameras and stored in RGB color format in JPEG format. The captured images were labeled using the labelme tool to generate segmented masks. Subsequently, the dataset was augmented to generate the final dataset.

面向图像分割的多类别杂草数据集包含两类杂草：裸柱菊（Soliva Sessilis，Field Burrweed）和遏蓝菜（Thlaspi Arvense L.，Field Pennycress）。该数据集的杂草图像采集于印度北方邦戈勒克布尔市的一处茄子农场的田间自然环境，拍摄时段为杂草生长早期阶段。数据集共包含7872张经过数据增强处理的图像及其对应的分割掩码。所有图像均通过多款智能手机相机拍摄，以RGB色彩格式存储，文件格式为JPEG。采集到的原始图像通过labelme工具完成标注以生成分割掩码，随后对标注后的数据集进行数据增强处理，最终得到本数据集。