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

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 MP resolution and 15,519 manual bounding box annotations as well as 340 ground truth pixels-wise annotations, collected at 3 different farms and 4 different days in summer and autumn 2021. Additionally, navigational robot sensor points from GNSS, IMU and odometry are recorded.In a second iteration, we supplement the dataset with joint stem annotation: For each bounding box in the dataset, an ellipse annotation has been performed, representing the potential joint-stem position and the uncertainty of the human annotator.For a detailed description, please consider the related publications as well as the datasets website: https://dtu-pas.github.io/RumexWeeds/<br>真实世界数据集RumexWeeds聚焦于草原杂草的检测任务，目标物种为长刺酸模（Rumex obtusifolius L.）与皱叶酸模（Rumex crispus L.）。该数据集包含完整图像序列，共计5510张分辨率为2.3 MP的图像，附带15519条人工标注的边界框（bounding box）以及340条像素级真值标注，所有数据采集于2021年夏秋季节的3个不同农场与4个采样日。此外，数据集还记录了导航机器人的全球导航卫星系统（GNSS）、惯性测量单元（IMU）与里程计（odometry）传感器数据点。在第二版迭代更新中，我们为数据集补充了茎节标注任务：针对数据集中的每一个边界框，均完成了椭圆标注，用于表征潜在的茎节位置以及人工标注者的标注不确定性。如需获取详细描述，请参阅相关研究文献及数据集官方网站：https://dtu-pas.github.io/RumexWeeds/