Peach 成熟度数据集

一个基于深度学习的成熟度数据集，对毛桃进行综合分类，重新调整真实的果园种植环境。使用智能手机以 3024 x 4032 像素的分辨率捕捉不同生长阶段的桃子图像。此外，该数据集已按照成熟度分类进行了标注，分别是硬熟、半熟、全熟，还涵盖了不同的拍摄距离、不同的光照条件、不同的果实生长条件。经过筛选的原始数据集由 1,245 张图像组成，其中 3,493 个水果边界框手动注释，并以 Pascal VOC 和 YOLO 格式提供注释文件。

This deep learning-based maturity dataset is designed for comprehensive classification of hairy peaches, simulating real orchard cultivation environments. Images of peaches at various growth stages were captured using smartphones at a resolution of 3024 × 4032 pixels. Furthermore, the dataset has been annotated based on maturity classification, which includes three categories: firm-ripe, semi-ripe, and fully-ripe. It also covers diverse shooting distances, lighting conditions, and fruit growth conditions. The filtered raw dataset comprises 1,245 images, with 3,493 manually annotated fruit bounding boxes, and the annotation files are available in both Pascal VOC and YOLO formats.