High-quality Oil tea leaves Image Dataset

 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.● 为选育优质油茶种苗，对其叶片类型进行分类至关重要。本数据集可支持研究人员通过深度学习（Deep Learning）、机器学习（Machine Learning）等方法自动完成分类识别，对推动油茶产业的可持续发展具有重要意义。 本高质量油茶叶片数据集旨在通过深度学习方法实现油茶叶片的快速分类与识别。依托该油茶叶片数据集，可实现油茶种苗及其品质的自动识别，助力提升农业生产水平、增加经济效益并降低人力成本。 所采集的图像数据涵盖两种不同光照生长条件下的油茶叶片，每类油茶叶片共计900张图像。根据油茶叶片的品种差异，所获图像被划分为6个类别：长林3号、长林4号、长林18号、长林21号、长林40号以及长林53号。