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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.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/guava_damage_classification.

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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: 15cmdrop, 30cmdrop, 45cmdrop, chillinginjured, 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.