Grape Varieties Dataset

Published: 24 November 2022| Version 2 | DOI: 10.17632/7n3d6696hz.2
Mohammed Mohammed Abdallazez, Lafta Raheem Ali Al-Khazraji, dhafar hamed,


Type of data Images , Specific subject area: Computer Vision, Pattern Recognition, machine learning, deep learning. This dataset has been collected for eight grape varieties, where leaves of grape seedlings were captured in different regions of Iraq for eight common varieties that are desirable in the local market and for export. Useful information of the parts of the photographed seedling is provided in the dataset that is typically used to identify grape variety . Seedlings were photographed during the fruiting season to identify their types with highest confidence. Dataset for 8 varieties included (deas al-annz, kamali, halawani, thompson seedless, aswud balad, riasi, frinsi, shdah) comprises of a total of 8000 image, 1000 images for each grape variety. The dataset consists of eight folder (corresponding to the included grapes types), each folder contains 1000 images of JPG format. The images within the dataset are all of the resolution of 1620 x 1080 pixels, Thus, the data size is 1.95 GB, After compressing with a zip program, the data size became 1.83 GB. Each folder represents one of the eight grape varieties.



University of Karbala


Computer Science, Computer Vision, Data Science, Machine Learning, Pattern Recognition, Deep Learning