Garden Flowers Chrysanthemum Identification Image Dataset

Currently, the horticulture industry is actively utilizing technological means to enhance plant management and ornamental value. However, existing plant identification solutions often face challenges due to insufficient diversity and inaccurate annotation of image data. Against this background, the Garden Flowers Chrysanthemum Identification Image Dataset comes into being, aiming to address species accuracy and data diversity issues in image recognition, and meet the needs of intelligent planting and ornamental industries. This dataset is collected by capturing multi-angle images of Chrysanthemum under standard lighting using high-definition cameras to ensure data diversity. The data underwent multiple rounds of expert labeling and strict consistency checks, with the labeling team consisting of 20 professionals from the field of botany. Preprocessing steps include image denoising, multi-scale enhancement, and contrast adjustment, and are finally stored in JPG format, organized by scene and shooting angle.