README.md

---
configs:
- config_name: augmented
  data_files:
  - split: train
    path: augmented/train-*
- config_name: raw
  data_dir: raw
  default: true
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 10K<n<100K
dataset_info:
- config_name: augmented
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Amon
          '1': BR28
          '2': BR29
          '3': Bashful
          '4': Bashmoti
          '5': Chinigura_Polao
          '6': Ganjiya
          '7': Gutisharna
          '8': Jirashail
          '9': Katari_Polao
          '10': Katarivog
          '11': Lal_Aush
          '12': Lal_Binni
          '13': Lal_Biroi
          '14': Najirshail
          '15': Paijam
          '16': Red_Cargo
          '17': Shampakatari
          '18': Shorna5
          '19': Subol_Lota
  splits:
  - name: train
    num_bytes: 568421638
    num_examples: 23650
  download_size: 820286412
  dataset_size: 568421638
- config_name: raw
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Amon
          '1': BR28
          '2': BR29
          '3': Bashful
          '4': Bashmoti
          '5': Chinigura_Polao
          '6': Ganjiya
          '7': Gutisharna
          '8': Jirashail
          '9': Katari_Polao
          '10': Katarivog
          '11': Lal_Aush
          '12': Lal_Binni
          '13': Lal_Biroi
          '14': Najirshail
          '15': Paijam
          '16': Red_Cargo
          '17': Shampakatari
          '18': Shorna5
          '19': Subol_Lota
  splits:
  - name: train
    num_bytes: 299500826
    num_examples: 4730
  download_size: 281318144
  dataset_size: 299500826
---

# 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

```bibtex
@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