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image imagewidth (px) 360 1.28k | objects dict |
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End of preview. Expand in Data Studio
Crop Weed Detection Latvia
A dataset for detection of crops and weeds. The dataset contains 1,176 images with 7,853 bounding box annotations across 2 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{sudars2020dataset,
title={Dataset of annotated food crops and weed images for robotic computer vision control},
author={Sudars, Kaspars and Jasko, Janis and Namatevs, Ivars and Ozola, Liva and Badaukis, Niks},
journal={Data in brief},
volume={31},
pages={105833},
year={2020},
publisher={Elsevier}
}
Sudars, Kaspars (2021), “Data for: Dataset of annotated food crops and weed images for robotic computer vision control”, Mendeley Data, V1, doi: 10.17632/nj4vtk4tt6.1
This dataset was reformatted from its original format to match HuggingFace standards.
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