Project-AgML/guava_damage_classification

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.