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image imagewidth (px) 1.92k 1.92k | objects dict |
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End of preview. Expand in Data Studio
MH Weed16 Weed Detection
A dataset for weed detection in Soybean fields. The dataset contains 6,656 images with 62,052 bounding box annotations across 15 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{shinde2025indian,
title={An Indian annotated weed dataset for computer vision tasks in precision farming},
author={Shinde, Sayali and Attar, Vahida},
journal={Data in Brief},
volume={61},
pages={111691},
year={2025},
publisher={Elsevier}
}
Shinde, Sayali; Attar, Dr. Vahida; Technological University Pune, COEP; Technology Innovation Hub, Indian Statistical Institute Kolkata, IDEAS (2025), “MH-Weed16:An Indian Multiclass Annotated Weed Dataset for Computer Vision Tasks ”, Mendeley Data, V2, doi: 10.17632/d3n3mgjjbv.2
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