| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': cracked |
| '1': crushed |
| '2': no_buds |
| '3': no_damage |
| '4': single_damaged_buds |
| '5': two_buds |
| splits: |
| - name: train |
| num_bytes: 2301208454 |
| num_examples: 153 |
| download_size: 2301235850 |
| dataset_size: 2301208454 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| task_categories: |
| - image-classification |
| size_categories: |
| - n<1K |
| --- |
| |
| # Sugarcane Damage Usa |
|
|
| A dataset for classification of sugarcane damage. The dataset contains 153 images across 6 classes: cracked, crushed, no_buds, no_damage, single_damaged_buds, two_buds. |
| Images per class: |
| - cracked: 24 |
| - crushed: 24 |
| - no_buds: 21 |
| - no_damage: 36 |
| - single_damaged_buds: 24 |
| - two_buds: 24 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @ARTICLE{8412587, |
| author={Alencastre-Miranda, Moises and Davidson, Joseph R. and Johnson, Richard M. and Waguespack, Herman and Krebs, Hermano Igo}, |
| journal={IEEE Robotics and Automation Letters}, |
| title={Robotics for Sugarcane Cultivation: Analysis of Billet Quality using Computer Vision}, |
| year={2018}, |
| volume={3}, |
| number={4}, |
| pages={3828-3835}, |
| doi={10.1109/LRA.2018.2856999} |
| } |
| ``` |
