The collection method is 60~80cm away from weeds, and the camera lens is perpendicular to the water surface of the paddy fields. In total, 210 images were obtained by the image acquisition platform in

DataCite Commons2025-05-01 更新320

Data for "RumexWeeds: A Grassland Dataset for Agricultural Robotics"

农业机器人

杂草检测

The real-world dataset RumexWeeds targets the detection of the grassland weeds: Rumex obtusifolius L. and Rumex crispus L.. RumexWeeds includes whole image sequences with totally 5,510 images of 2.3 M

DataCite Commons2023-09-22 更新280

2018年基于可变光照条件下RGB图像的杂草检测数据集

杂草检测

图像处理

萝卜-杂草数据集包含在胡萝卜田中收集的图像。图像在自然光条件下使用低成本手机摄像头拍摄。它也是一个小规模数据集，由39张红绿蓝三色图像组成，这些图像为jpg格式，分辨率为1296×966 像素，此外还有两组分别定义植被掩膜和作物、杂草和土壤背景的像素级注释的图像。该数据集已用于结合随机森林的纹理特征进行作物和杂草识别。https://github.com/lameski/rgbweeddetect

国家农业科学数据中心2022-07-07 更新510

2SeasonWeedDet8: a two-season, 8-class dataset for cross-season weed detection generalization evaluation

杂草检测

跨季节评估

The 2SeasonWeedDet8 dataset comprises two eight-class sub-datasets acquired in two consecutive seasons of 2021 and 2022. It was specifically curated for assessing the cross-season generalization asses

Mendeley Data2024-05-23 更新300

Case_Study_4_weed_management_evaluation_Raw_Image_Data_9_of_10

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