Apple tree images for trunk detection experiments (YOLOv8 format)

This dataset is designed for tree trunk detection in orchard environments using the YOLOv8 format. The dataset focuses apple trees, providing a comprehensive collection of images captured in orchards. The images cover various lighting conditions, weather scenarios, and seasonal changes to ensure robust model performance.The dataset consists of 1580 training images and 176 validation images.本数据集专为果园环境下的树干检测任务设计，采用YOLOv8格式进行标注组织。数据集聚焦苹果树，收录了果园场景下拍摄的多组图像以形成全面的样本集合。图像涵盖多样的光照条件、天气场景与季节变化，以此保障模型训练后具备良好的鲁棒性能。该数据集共包含1580张训练图像与176张验证图像。