High-quality Oil tea leaves Image Dataset

Published: 21 September 2023| Version 1 | DOI: 10.17632/5tpwjfg5sn.1
Yawei Wang, Zhichao Meng, Xiaohua Yao, Xiaoqiang Du


 To select high-quality oil tea seedlings, it is important to classify their leaf types. This dataset allows researchers to automatically recognize the classification through deep learning, machine learning, and other methods, which is important for promoting the sustainable development of the oil tea industry. The dataset of high-quality oil tea leaves is established for fast classification and identification of high-quality oil tea leaves using deep learning methods. Based on the established dataset of oil tea leaves, the automatic identification of oil tea saplings and their quality is realized to improve agricultural production, increase economic benefits and reduce labor costs. The collected image data consisted of leaves from two different light growth conditions before and after, with a total of 900 images for each category of oil tea leaves. The obtained images were classified into six categories according to the different types of oil tea leaves: Changlin No.3, Changlin No.4, Changlin No.18, Changlin No.21, Changlin No.40, and Changlin No.53.



Zhejiang Sci-Tech University


Computer Vision, Image Classification, Deep Learning