Garden Flowers Japanese Quince (Chaenomeles) Image Recognition Dataset

In the fields of agriculture, forestry, and fisheries, accurately identifying garden flowers and their species is key to improving plant management and landscape design efficiency. However, due to the vast variety and subtle differences between similar species, traditional methods often cannot meet the requirements for efficiency and accuracy. This dataset provides high-quality images of Japanese Quince to enhance the efficiency and accuracy of plant identification. Images in the dataset are collected using high-definition digital cameras under various lighting conditions and angles, covering a range of growth stages and health conditions. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to ensure the accuracy and consistency of each image. The annotation team is composed of botanists and data scientists, totaling 20 professionals, ensuring high-level expertise. Data preprocessing includes image denoising, cropping, and standardization to facilitate subsequent model training. Data is stored in JPG format and organized in a hierarchical folder structure for easy access and use.