Datasets:
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End of preview. Expand in Data Studio
Uav Weed Plant Detection
This dataset provides synthetic RGB images of grass fields in Wageningen, Netherlands, designed for weed detection in agricultural settings. Generated to simulate UAV-mounted camera captures across multiple dates in 2024, it offers a resource for developing object detection models in precision farming environments. The dataset contains 2,507 images with 2,972 bounding box annotations across 2 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{vanessen2025adaptive,
title={Adaptive path planning for efficient object search by UAVs in agricultural fields},
author={van Essen, Rick and van Henten, Eldert and Kooistra, Lammert and Kootstra, Gert},
journal={Smart Agricultural Technology},
volume={12},
pages={101075},
year={2025},
publisher={Elsevier}
}
van Essen, R., van Henten, E., Kooistra, L., & Kootstra, G. (2025). Data underlying the publication: Adaptive path planning for efficient object search by UAVs in agricultural fields (Version 1) [Dataset]. 4TU.ResearchData. https://doi.org/10.4121/BBE97051-07DF-4934-B634-701D91A2075E.V1
This dataset was reformatted from its original format to match HuggingFace standards.
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