Project-AgML/ACHENY_variety_classification

ACHENY Variety Classification

A dataset for variety classification of Chenopod. The dataset contains 27,030 images across 30 classes:
Images per class:

• AnaHau: 769
• AnaSet: 1,282
• AtrCan: 722
• AtrLen: 1,338
• AtrLeu: 629
• CerAre: 807
• CheAlb: 652
• CorMon: 1,098
• GirOpp: 310
• HalAmm: 929
• HalBel: 628
• HalPer: 1,160
• HalStr: 848
• HalSub: 967
• HamSal: 1,191
• KocSco: 910
• KocSte: 851
• SalAba: 733
• SalDen: 1,461
• SalInc: 1,160
• SalKal: 300
• SalKer: 904
• SalPra: 929
• SalTom: 969
• SalTur: 979
• SalYaz: 1,049
• SeiCin: 550
• SeiRos: 1,000
• SuaAcu: 1,171
• SuaAeg: 734

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

Citation

@article{heidary2021acheny,
  title={ACHENY: A standard Chenopodiaceae image dataset for deep learning models},
  author={Heidary-Sharifabad, Ahmad and Zarchi, Mohsen Sardari and Emadi, Sima and Zarei, Gholamreza},
  journal={Data in Brief},
  volume={39},
  pages={107478},
  year={2021},
  publisher={Elsevier}
}

Heidary-Sharifabad, Ahmad; Sardari Zarchi, Mohsen; Emadi, Sima; Zarei, Gholamreza (2021), “ACHENY : A Standard Chenopodiaceae Image dataset for Deep Learning Models”, Mendeley Data, V1, doi: 10.17632/fpfty8nn7j.1

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