Strawberry multimodal image target detection dataset

Accurate detection of strawberries during their growth period has always been a critical technical challenge for precision orchard management. This dataset, developed to meet the needs of strawberry target detection, was constructed through field data collection and processing, and includes multimodal image data of strawberries at different growth stages and under various natural conditions. The dataset contains visible light, depth, and infrared images, with a total data volume of 54.7GB. It provides valuable foundational data resources for multimodal image data fusion and target detection research and can serve as a standard library for training and testing deep learning models, playing a significant role in advancing strawberry target detection research.草莓生育期的精准目标检测，始终是精细化果园管理领域的核心技术挑战。本数据集专为满足草莓目标检测需求开发，通过田间数据采集与处理构建完成，涵盖不同生育阶段、多种自然环境下的草莓多模态图像数据。该数据集包含可见光图像、深度图像与红外图像，总数据量达54.7GB。其可为多模态图像融合与目标检测相关研究提供宝贵的基础数据资源，同时可作为深度学习模型训练与测试的标准数据集，对推动草莓目标检测领域的研究进展具有重要意义。

搜集汇总

背景与挑战

背景概述

该数据集是一个专门用于草莓目标检测的多模态图像数据集，包含草莓不同生长阶段和多种自然条件下的可见光、深度和红外图像，总数据量达54.7GB。它旨在支持多模态图像数据融合与目标检测研究，并可作为深度学习模型训练和测试的标准库，对推动草莓精准果园管理技术发展具有重要价值。