Project-AgML/fig_leaf_ficus_worm_classification

1---2dataset_info:3  features:4  - name: image5    dtype: image6  - name: label7    dtype:8      class_label:9        names:10          '0': healthy11          '1': infected12  splits:13  - name: train14    num_bytes: 65481916415    num_examples: 232116  download_size: 70958750817  dataset_size: 65481916418configs:19- config_name: default20  data_files:21  - split: train22    path: data/train-*23license: cc-by-4.024task_categories:25- image-classification26size_categories:27- 1K<n<10K28---29 30# Fig Leaf Ficus Worm Classification31 32A dataset for disease classification of fig leaves with Ficus worms. The dataset contains 2,321 images across 2 classes: healthy, infected.  33Images per class:34- healthy: 97135- infected: 1,35036 37This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.38 39## Citation40 41```bibtex42@article{hafi2024image,43  title={Image dataset of healthy and infected fig leaves with Ficus leaf worm},44  author={Hafi, Saad Jabir and Mohammed, Mohammed Abdallazez and Abd, Dhafar Hamed and Alaskar, Haya and Alharbe, Nawaf R and Ansari, Sam and Aliesawi, Salah A and Hussain, Abir Jaafar},45  journal={Data in Brief},46  volume={53},47  pages={109958},48  year={2024}49}50```51 52Hafi, Saad; Mohammed Abdallazez, Mohammed; Hamed , Dhafar; Alaskar, Haya; Hussain, Abir (2023), “fig leaves dataset”, Mendeley Data, V2, doi: 10.17632/f7dk2yknff.2