Datasets:
File size: 1,824 Bytes
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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.* |