---
dataset_info:
- config_name: augmented
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': grade-1
          '1': grade-2
          '2': grade-3
  - name: variety
    dtype: string
  - name: size
    dtype: string
  splits:
  - name: train
    num_bytes: 1016782882
    num_examples: 19229
  download_size: 1126800536
  dataset_size: 1016782882
- config_name: raw
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': grade-1
          '1': grade-2
          '2': grade-3
  - name: variety
    dtype: string
  - name: size
    dtype: string
  splits:
  - name: train
    num_bytes: 165723764
    num_examples: 3004
  download_size: 186265660
  dataset_size: 165723764
configs:
- config_name: augmented
  data_files:
  - split: train
    path: augmented/train-*
- config_name: raw
  default: true
  data_files:
  - split: train
    path: raw/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---

# Date Grade Variety Classification

A dataset for image classification of dates. The dataset contains augmented and raw versions.
The augmented dataset contains 19,229 images.
Images per class:
- grade-1: 11,724
- grade-2: 3,977
- grade-3: 3,528

The raw dataset contains 3,004 images.
Images per class:
- grade-1: 1,784
- grade-2: 693
- grade-3: 527


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

## Citation

```bibtex
@article{maitlo2024novel,
  title={A novel dataset of date fruit for inspection and classification},
  author={Maitlo, Abdul Khalique and Shaikh, Riaz Ahmed and Arain, Rafaqat Hussain},
  journal={Data in Brief},
  volume={52},
  pages={110026},
  year={2024},
  publisher={Elsevier}
}
```

Maitlo, Abdul Khalique; Shaikh, Riaz Ahmed; Arain,  Rafaqat Hussain (2023), “Date Fruit Dataset for Inspection and Grading”, Mendeley Data, V3, doi: 10.17632/s5zfvsw5kv.3