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End of preview. Expand in Data Studio
Cotton Weed Detection
A dataset for weed detection in cotton fields. The dataset contains 262 images with 50,812 bounding box annotations across 2 categories, weed and cotton.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{das2026uav,
title={A UAV Image Dataset for Object Detection with Annotations Generated Using LabelImg and Roboflow},
author={Das, Anindita and Subburaj, Vinitha Hannah and Yang, Yong and Bednarz, Craig W},
journal={Data in Brief},
pages={112483},
year={2026},
publisher={Elsevier}
}
Das, Anindita; Subburaj, Vinitha; Yang, Yong; Bednarz, Craig (2025), “A UAV Image Dataset for Object Detection with Annotations Generated Using LabelImg and Roboflow ”, Mendeley Data, V1, doi: 10.17632/sx2tphzvcw.1
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