Project-AgML/rice_grain_variety_classification

Rice Grain Variety Classification

A dataset for variety classification of rice grains. The dataset contains raw and augmented versions. The raw dataset contains 4,730 images. Images per class:

• —Amon: 250
• —BR28: 230
• —BR29: 233
• —Bashful: 252
• —Bashmoti: 230
• —Chinigura_Polao: 237
• —Ganjiya: 233
• —Gutisharna: 256
• —Jirashail: 231
• —Katari_Polao: 242
• —Katarivog: 233
• —Lal_Aush: 231
• —Lal_Binni: 232
• —Lal_Biroi: 231
• —Najirshail: 231
• —Paijam: 234
• —Red_Cargo: 240
• —Shampakatari: 234
• —Shorna5: 238
• —Subol_Lota: 232

The augmented dataset contains 23,650 images. Images per class:

• —Amon: 1,250
• —BR28: 1,150
• —BR29: 1,165
• —Bashful: 1,260
• —Bashmoti: 1,150
• —Chinigura_Polao: 1,185
• —Ganjiya: 1,165
• —Gutisharna: 1,280
• —Jirashail: 1,155
• —Katari_Polao: 1,210
• —Katarivog: 1,165
• —Lal_Aush: 1,155
• —Lal_Binni: 1,160
• —Lal_Biroi: 1,155
• —Najirshail: 1,155
• —Paijam: 1,170
• —Red_Cargo: 1,200
• —Shampakatari: 1,170
• —Shorna5: 1,190
• —Subol_Lota: 1,160

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

Citation

@article{islam2024visual,
  title={A visual dataset for recognition of rice varieties},
  author={Islam, Md Masudul and Himel, Galib Muhammad Shahriar and Uddin, Mohammad Shorif and Moazzam, Md Golam},
  journal={Data in brief},
  volume={54},
  pages={110442},
  year={2024},
  publisher={Elsevier}
}

Islam, Md Masudul; Himel, Galib Muhammad Shahriar; Moazzam, Md. Golam; Uddin, Mohammad Shorif (2024), “Aruzz22.5K: An Image Dataset of Rice Varieties”, Mendeley Data, V4, doi: 10.17632/3mn9843tz2.4