Garden Flower Firecracker Flower Recognition Image Dataset

With the global demand for garden greening increasing, accurate recognition of garden flowers such as firecracker flowers has become an important task for garden management. However, traditional manual recognition methods are limited by individual experience and skills, time-consuming, and prone to errors. In addition, existing plant recognition technologies are difficult to promote due to incomplete datasets or poor annotation quality. This dataset aims to provide plant recognition systems with high-definition, accurately annotated firecracker flower images to improve recognition accuracy. Data comes from gardens and research institutes across various climate zones in the country, captured using professional cameras under natural light. The data has been annotated multiple times to ensure accuracy, reviewed by a team of botany experts. The annotation team consists of over 20 plant protection experts and graduate students, with extensive experience in plant classification. Data preprocessing includes image denoising, size standardization, and color correction, finally stored in JPG format and archived by region and shooting time.