Dataset Viewer
The dataset viewer is not available for this dataset.
Unexpected token '<', "<html>
<h"... is not valid JSON
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
PFSD Musa Banana Disease Classification
A dataset for disease classification of bananas. The dataset contains 6,700 images across 8 classes: BACTERIAL SOFT ROT, BANANA APHIDS, BANANA FRUIT- SCARRING BEETLE, BLACK SIGATOKA, PANAMA DISEASE, POTASSIUM DEFICIENCY, PSEUDOSTEM WEEVIL, YELLOW SIGATOKA.
Images per class:
- BACTERIAL SOFT ROT: 1,078
- BANANA APHIDS: 366
- BANANA FRUIT- SCARRING BEETLE: 150
- BLACK SIGATOKA: 474
- PANAMA DISEASE: 102
- POTASSIUM DEFICIENCY: 1,530
- PSEUDOSTEM WEEVIL: 2,736
- YELLOW SIGATOKA: 264
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{medhi2022psfd,
title={PSFD-Musa: A dataset of banana plant, stem, fruit, leaf, and disease},
author={Medhi, Epsita and Deb, Nabamita},
journal={Data in brief},
volume={43},
pages={108427},
year={2022},
publisher={Elsevier}
}
MEDHI, EPSITA (2022), “PSFD-Musa DATASET”, Mendeley Data, V1, doi: 10.17632/4wyymrcpyz.1
- Downloads last month
- -