Project-AgML/pomegranate_thermal_defect_classification

Pomegranate Thermal Defect Classification

A dataset for classification of Pomegranate defects using thermal imagery. The dataset contains 982 images across 3 classes: Major Defect, Minor Defect, No Defect.
Images per class:

• Major Defect: 303
• Minor Defect: 340
• No Defect: 339

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{gaikwad2025dataset,
  title={Dataset creation of thermal images of pomegranate for internal defect detection},
  author={Gaikwad, Ashvini and Deshpande, Manoj and Bhole, Varsha},
  journal={Data in brief},
  volume={60},
  pages={111538},
  year={2025},
  publisher={Elsevier}
}

gaikwad, ashvini (2024), “Pomegranate Thermal Images”, Mendeley Data, V1, doi: 10.17632/djcgvgtcfm.1

This dataset was reformatted from its original format to match HuggingFace standards.