---
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.*