Datasets:
File size: 2,019 Bytes
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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 |