Datasets:

Project-AgML
/

guava_damage_classification

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

@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.