| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': 15cm_drop |
| '1': 30cm_drop |
| '2': 45cm_drop |
| '3': chilling_injured |
| '4': diseased |
| '5': healthy |
| '6': mixed_drop |
| - name: source |
| dtype: string |
| - name: day |
| dtype: int64 |
| - name: maturity |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 16455019456 |
| num_examples: 3959 |
| download_size: 11174192302 |
| dataset_size: 16455019456 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Guava Damage Classification |
|
|
| A dataset for image classification of various types of guava damage. The dataset contains 3,959 rgb and thermal images across 7 classes: 15cm_drop, 30cm_drop, 45cm_drop, chilling_injured, diseased, healthy, mixed_drop. |
| Images per class: |
| - 15cm_drop: 887 |
| - 30cm_drop: 832 |
| - 45cm_drop: 1,078 |
| - chilling_injured: 32 |
| - diseased: 395 |
| - healthy: 588 |
| - mixed_drop: 147 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{pathmanaban2023comprehensive, |
| title={Comprehensive guava fruit data set: Digital and thermal images for analysis and classification}, |
| author={Pathmanaban, P. and Gnanavel, B.K. and Anandan, Shanmuga Sundaram}, |
| journal={Data in Brief}, |
| volume={50}, |
| pages={109486}, |
| year={2023}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| P, PATHMANABAN; B K, GNANAVEL; Anandan, Shanmuga Sundaram (2023), “Guava (Psidium guajava) fruit digital and thermal Images”, Mendeley Data, V1, doi: 10.17632/5kptnn7ycr.1 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
