Datasets:
| configs: | |
| - config_name: augmented | |
| data_files: | |
| - split: train | |
| path: augmented/train-* | |
| - config_name: raw | |
| data_dir: raw | |
| default: true | |
| license: cc-by-4.0 | |
| task_categories: | |
| - image-classification | |
| size_categories: | |
| - 10K<n<100K | |
| dataset_info: | |
| - config_name: augmented | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': Bad fruit | |
| '1': Bad leaf | |
| '2': Good fruit | |
| '3': Good leaf | |
| splits: | |
| - name: train | |
| num_bytes: 2420121685 | |
| num_examples: 11024 | |
| download_size: 2923896110 | |
| dataset_size: 2420121685 | |
| - config_name: raw | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': Bad fruit | |
| '1': Bad leaf | |
| '2': Good fruit | |
| '3': Good leaf | |
| splits: | |
| - name: train | |
| num_bytes: 2119103811 | |
| num_examples: 4497 | |
| download_size: 2288587025 | |
| dataset_size: 2119103811 | |
| # Dragonfruit Disease Classificatio | |
| A dataset for disease classification of dragonfruit. The dataset contains raw and augmented versions. | |
| The raw dataset contains 4,497 images. | |
| Images per class: | |
| - Bad fruit: 307 | |
| - Bad leaf: 1,615 | |
| - Good fruit: 333 | |
| - Good leaf: 2,242 | |
| The augmented dataset contains 11,024 images. | |
| Images per class: | |
| - Bad fruit: 921 | |
| - Bad leaf: 4,834 | |
| - Good fruit: 999 | |
| - Good leaf: 4,270 | |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. | |
| ## Citation | |
| ```bibtex | |
| @article{sarkar2025udcad, | |
| title={UDCAD-DFL-DL: A unique dataset for classifying and detecting agricultural diseases in dragon fruits and leaves}, | |
| author={Sarkar, Pronob Chandra and Pranta, Gourab Kumar and Mojumdar, Mayen Uddin and Mahmud, Arif and Noori, Sheak Rashed Haider and Chakraborty, Narayan Ranjan}, | |
| journal={Data in Brief}, | |
| volume={59}, | |
| pages={111411}, | |
| year={2025}, | |
| publisher={Elsevier} | |
| } | |
| ``` | |
| Sarkar, Pronob; Pranta, Gourab Kumar ; Mojumdar, Mayen Uddin (2024), “Dragon fruit & leaf Dataset from Bangladesh for Classification and Ecological Research”, Mendeley Data, V1, doi: 10.17632/cfchfdpfw5.1 |