Project-AgML/mint_leaf_classification

Mint Leaf Classification

A dataset for health classification of mint leaves. The dataset contains 5,384 images across 4 classes: Dried, Fresh, Spoiled, Sunlight.
Images per class:

• Dried: 1,881
• Fresh: 1,773
• Spoiled: 1,669
• Sunlight: 61

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

Citation

@article{jadhav2023mint,
  title={Mint leaves: dried, fresh, and spoiled dataset for condition analysis and machine learning applications},
  author={Jadhav, Rohini and Suryawanshi, Yogesh and Bedmutha, Yashashree and Patil, Kailas and Chumchu, Prawit},
  journal={Data in Brief},
  volume={51},
  pages={109717},
  year={2023},
  publisher={Elsevier}
}

Bedmutha, Yashashree; Suryawanshi, Yogesh; PATIL, Kailas; chumchu, prawit (2023), “Pudina Leaf Dataset: Freshness Analysis”, Mendeley Data, V1, doi: 10.17632/nvbpydc3fs.1