Strawberry growth state dataset

The dataset used in this study is sourced from two public strawberry datasets: StrawDI_Db1 and the Strawberry Dataset for Object Detection. StrawDI_Db1 consists of 3,803 images captured in strawberry plantations in Huelva, Spain, during different harvesting activities. These images have a resolution of 4032×3024 pixels and are stored in 8-bit per channel JPEG format. Upon release, they were resized to 1008×756 pixels and saved in PNG format. The Strawberry Dataset for Object Detection , released by the Natural Resources Institute Finland (Luke) in 2022, contains 813 images for strawberry flower and fruit object detection.After obtaining the datasets, we performed image cleaning, removing blurry and unidentifiable images, and merged them to create a final set of 2,301 images covering multiple growth stages of strawberry flowers and fruits. The merged dataset was split into training, and test sets at a ratio of 8:2, ensuring no overlapping images between subsets, and the test set was not involved in training to ensure the rigor of model evaluation.

本研究所用数据集源自两个公开草莓数据集：StrawDI_Db1与面向目标检测的草莓数据集（Strawberry Dataset for Object Detection）。其中，StrawDI_Db1包含3803张采集自西班牙韦尔瓦（Huelva）草莓种植园的图像，拍摄场景覆盖不同采收作业时段。该数据集原始图像分辨率为4032×3024像素，采用每通道8位的JPEG（Joint Photographic Experts Group）格式存储；数据集发布时，图像被统一缩放至1008×756像素，并以PNG（Portable Network Graphics）格式保存。由芬兰自然资源研究所（Natural Resources Institute Finland, Luke）于2022年发布的面向目标检测的草莓数据集，包含813张用于草莓花与果实目标检测的图像。获取上述数据集后，研究团队开展了图像清洗工作，剔除模糊及无法识别的图像，并将剩余数据合并，最终得到包含2301张图像的数据集，覆盖草莓花与果实的多个生长阶段。合并后的数据集以8:2的比例划分为训练集与测试集，确保子集间无图像重叠，且测试集未参与模型训练，以保障模型评估的严谨性。

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于草莓生长状态的数据集，由两个公开数据集合并而成，经过清洗后包含2,301张图像，覆盖草莓花和果实的多个生长阶段。数据集被严格划分为训练集和测试集（8:2比例），测试集未参与训练，以确保模型评估的准确性和可靠性。