Technical University of Denmark

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

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Version 2 2023-09-22, 12:56
Version 1 2023-02-16, 09:09
posted on 2023-09-22, 12:56 authored by Ronja GüldenringRonja Güldenring, Jiahao Li, Frits van Evert, Lazaros NalpantidisLazaros Nalpantidis

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:



Galileo-assisted robot to tackle the weed Rumex obtusifolius and increase the profitability and sustainability of dairy farming

European Commission

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