Project-AgML/java_plum_leaf_disease_classification

1---2dataset_info:3  features:4  - name: image5    dtype: image6  - name: label7    dtype:8      class_label:9        names:10          '0': Bacterial_Spot11          '1': Brown_Blight12          '2': Dry13          '3': Healthy14          '4': Powdery_Mildew15          '5': Sooty_Mold16  splits:17  - name: train18    num_bytes: 11499793419    num_examples: 240020  download_size: 11427418521  dataset_size: 11499793422configs:23- config_name: default24  data_files:25  - split: train26    path: data/train-*27---28 29# Java Plum Leaf Disease Classification30 31A dataset for disease classification of Java Plum leaves. The dataset contains 2,400 images across 6 classes: Bacterial_Spot, Brown_Blight, Dry, Healthy, Powdery_Mildew, Sooty_Mold.  32Images per class:33- Bacterial_Spot: 40034- Brown_Blight: 40035- Dry: 40036- Healthy: 40037- Powdery_Mildew: 40038- Sooty_Mold: 40039 40This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.41 42## Citation43 44```bibtex45@article{bhowmik2024customised,46  title={A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease},47  author={Bhowmik, Auvick Chandra and Ahad, Md Taimur and Emon, Yousuf Rayhan and Ahmed, Faruk and Song, Bo and Li, Yan},48  journal={Smart Agricultural Technology},49  volume={8},50  pages={100500},51  year={2024},52  publisher={Elsevier}53}54```55 56Bhowmik, Auvick Chandra; Ahad, Taimur (2024), “Java Plum Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/43d75vptz4.357