Floral Landscape Recognition Dataset

The current agricultural sector is facing challenges such as the reduction of biodiversity and deterioration of the ecological environment. Flowers, as an essential component of ecosystems, are crucial for maintaining ecological balance. However, existing flower recognition technologies rely on expert experience, which is inefficient and prone to errors. Therefore, we have constructed this dataset to provide high-quality flower images and annotations, supporting the training of machine learning models and improving the automation of flower recognition. The dataset is collected by a professional team in natural environments, using high-resolution cameras to ensure image quality. Multiple rounds of annotation and consistency checks are employed to ensure data accuracy. The data is stored in JPEG format, organized by folders, with each folder corresponding to a flower species for easy subsequent use.