TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset

The "TeaLeafAgeQuality" dataset is curated for tea leaf classification, detection and quality prediction based on leaf age. This dataset encompasses a comprehensive collection of tea leaf images categorized into four classes corresponding to their age-based quality: Category T1: Age 1 and 2 days, representing the highest quality tea leaves. (562 Raw Images) Category T2: Age 3 to 4 days, indicating good quality tea leaves. (615 Raw Images) Category T3: Age 5 to 7 days, indicating average or below-average quality tea leaves. (508 Raw Images) Category T4: Age 7+ days, denoting tea leaves unsuitable for brewing drinkable tea. (523 Raw Images) Each category includes images depicting tea leaves at various stages of their age progression, facilitating research and analysis into the relationship between leaf age and tea quality. The dataset aims to contribute to the advancement of deep learning models for tea leaf classification and quality assessment. This dataset comprises three versions: the first is raw, unannotated data, offering a pure, unmodified collection of tea leaves collected from the different tea gardens located at Sylhet, Bangladesh. The second version includes precise annotations, classified into four categories: T1, T2, T3, and T4, for targeted analysis. Finally, the third version contains both annotated and augmented data, enhancing the dataset for more advanced research applications. Each version caters to different levels of data analysis, from basic to complex.

"TeaLeafAgeQuality"数据集专为基于叶龄的茶叶分类、检测与品质预测任务打造。该数据集收录了全面的茶叶图像集合，按叶龄对应的品质等级划分为四类：T1类：1~2日龄茶叶，代表最高品质茶鲜叶（含原始图像562张）；T2类：3~4日龄茶叶，代表优质茶鲜叶（含原始图像615张）；T3类：5~7日龄茶叶，代表中等或中等以下品质茶鲜叶（含原始图像508张）；T4类：7日龄及以上茶叶，代表不适用于冲泡饮用的茶鲜叶（含原始图像523张）。每一类均包含不同叶龄阶段的茶叶图像，可为叶龄与茶叶品质关联的研究与分析提供支撑。本数据集旨在推动用于茶叶分类与品质评估的深度学习模型发展。该数据集包含三个版本：第一个版本为未经标注的原始数据，采集自孟加拉国锡尔赫特地区的多家茶园，为纯净无修改的茶叶图像集合；第二个版本包含精准标注，分为T1、T2、T3、T4四类，可用于针对性分析；第三个版本同时包含标注数据与增强数据，可优化数据集以适配更高级的研究应用。各版本可满足从基础到复杂的不同层级数据分析需求。