Ajwa or Medjool
Donated on 9/14/2023
This dataset is a balanced dataset to classify two categories of organic Saudi dates. The dataset contains three subsets: 1) a dataset containing hand-crafted features to classify 20 date fruits into two types of organic dates (Ajwa or Medjool); 2) a dataset for images of Ajwa and Medjool (200 images of the 20 aforementioned fruits); and 3) a dataset containing tabular data with features created automatically using deep learning to classify the two organic date types (Ajwa or Medjool). This study is considered as the first work in Arabic using shallow machine learning and deep learning to create accurate models for classifying organic Saudi dates, which would enable scholars, researchers, and developers to create machine learning applications for classifying Saudi dates in various forms like websites, mobile apps, microcontrollers, tiny machine learning and internet of things applications.
Dataset Characteristics
Tabular, Image
Subject Area
Other
Associated Tasks
Classification
Feature Type
Real, Categorical, Integer
# Instances
200
# Features
6
Dataset Information
Additional Information
Each date fruit was pictured 5 times leading to having 100 images. The other 100 images are the same first 100 images without a background. For the third subset, four image embedders were used to transform the 200 images to a tabular form. Thus, there are four csv files with 200 rows each.
Has Missing Values?
No
Introductory Paper
By Ghassan F. Bati. 2023
Published in Journal of Information Studies & Technology
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Date Length (cm) | Feature | Continuous | no | ||
| Date Diameter (cm) | Feature | Continuous | no | ||
| Date Weight (g) | Feature | Continuous | no | ||
| Pit Length (cm) | Feature | Continuous | no | ||
| Calories (Kcal) | Feature | Continuous | no | ||
| Color | Feature | Categorical | no | ||
| Class (Ajwa or Medjool) | Target | Categorical | no |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset ajwa_or_medjool = fetch_ucirepo(id=879) # data (as pandas dataframes) X = ajwa_or_medjool.data.features y = ajwa_or_medjool.data.targets # metadata print(ajwa_or_medjool.metadata) # variable information print(ajwa_or_medjool.variables)
Bati,Ghassan. (2023). Ajwa or Medjool. UCI Machine Learning Repository. https://doi.org/10.24432/C5K908.
@misc{misc_ajwa_or_medjool_879,
author = {Bati,Ghassan},
title = {{Ajwa or Medjool}},
year = {2023},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5K908}
}Keywords
Creators
Ghassan Bati
gfbati@uqu.edu.sa
Umm Al-Qura University
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.