Peach Maturity Dataset

A comprehensive dataset for peach ripeness classification based on real-world orchard planting environments has been developed. This dataset utilizes images of peaches at different growth stages, captured using smartphones with a resolution of 3024 by 4032 pixels. The images encompass three ripening stages of peaches: hard ripe, semi-ripe, and fully ripe. Additionally, the dataset includes variations in shooting distance, lighting conditions, and fruit growth status. Following a selection process, the original dataset consists of 1,245 images. These images have been manually annotated with 3,493 bounding boxes around the fruits, and annotation files are provided in both Pascal VOC and YOLO formats. The dataset aims to facilitate further research and development in smart orchard operations utilizing deep learning techniques.
依据真实果园种植环境的一个基于深度学习的综合性毛桃成熟度分类数据集，使用智能手机采集不同生长时期的毛桃图像，尺寸为3024乘4032像素，其中包含了硬熟，半熟以及完熟三个毛桃成熟阶段，同时涵盖了不同拍摄距离，不同光照条件以及果实不同生长情况。经过筛选后的原始数据集数量为1245张，采用手动标注了3493个果实边界框并且提供了Pascal VOC和YOLO两种格式的标注文件。该数据集旨在促进基于深度学习的智慧果园作业进一步研究和发展。