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.