Dataset for Images Recognizing the Plant Ixeridium in Gardens

In the current garden plant management industry, there is a challenge to accurately identify plant species. Ixeridium is often confused with other flowers due to its similar appearance, leading to various inconveniences in management. Existing recognition systems often fail to achieve expected accuracy due to insufficient and less diverse sample data. This dataset aims to provide high-quality Ixeridium image data, thereby improving the precision and reliability of plant recognition models. Data collection is done using professional-grade cameras under various natural lighting conditions, covering different seasons and various growth states. Multiple rounds of annotation and expert review mechanisms ensure data accuracy, with annotation by an expert team with a botanical background. Data preprocessing includes steps such as image augmentation and standardization to ensure consistent image quality for model input. Data is stored in JPG format and managed by plant species and shooting environment.