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.

用于图像分割的多分类杂草数据集包含两类杂草：裸柱菊（Soliva Sessilis，俗称田刺球草）与遏蓝菜（Thlaspi Arvense L.，俗称田遏蓝菜）。该数据集的杂草图像采集自印度北方邦戈勒克布尔市的一处茄子种植场，拍摄于杂草生长早期的田间环境中。数据集共包含7872张经数据增强后的图像及其对应的分割掩码。图像均通过多款智能手机拍摄，以RGB色彩格式存储为JPEG文件。采集到的原始图像通过labelme工具进行标注以生成分割掩码，随后通过数据增强操作生成最终的数据集。