Image dataset of important grape varieties in the commercial and consumer market

Lafta R Al-Khazraji; Mohammed Abdallazez Mohammed; Dhafar Hamed Abd; Wasiq Khan; Bilal Khan; Abir Jaafar Hussain

doi:10.1016/j.dib.2023.108906

Image dataset of important grape varieties in the commercial and consumer market

Data Brief. 2023 Jan 20:47:108906. doi: 10.1016/j.dib.2023.108906. eCollection 2023 Apr.

Authors

Lafta R Al-Khazraji¹, Mohammed Abdallazez Mohammed², Dhafar Hamed Abd³, Wasiq Khan⁴, Bilal Khan⁵, Abir Jaafar Hussain^{6

4}

Affiliations

¹ Ministry of Education, General Directorate of Education, Salah al-Din, Iraq.
² University of Karbala, College of Computer Science and Information Technology, Information Technology Department, Iraq.
³ Department of Computer Science Al-Maarif University College, Alanbar, Iraq.
⁴ Liverpool John Moores University, Liverpool L3 3AF, UK.
⁵ School of Computer Science and Engineering, California State University San Bernardino, 5500 University Parkway, San Bernardino, CA 92407, USA.
⁶ Department of Electrical Engineering, University of Sharjah, Sharjah, UAE.

Abstract

This work presents a primary dataset collected from various geographic locations in Iraq for the seedlings of eight varieties of grapes that are used for local consumption and export. Grape types included in the dataset are: deas al-annz, kamali, halawani, thompson seedless, aswud balad, riasi, frinsi, shdah. Leaves of each type of the seasoned fruit were photographed with high resolution device. A total of 8000 images (i.e., 1000 images per category) were captured using random sampling approach while maintaining the balance and diversity within grape image data. The proposed dataset is of significant potential impact and usefulness with features including (but not limited to) 8 varieties, that have different tastes and can support various industry in agriculture and food manufactures.

Keywords: Classification; Cultivation; Deep learning; Grape's type; Pattern recognition.