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horticulture industries are facing a huge demand for automated and highly accurate plant recognition technology. However, traditional manual recognition methods are inefficient and prone to error, and existing recognition systems still lack accuracy and adaptability. The beautiful floss silk tree, as a high ornamental plant, presents a significant challenge in horticultural management for precise identification. This dataset aims to address the issues of low accuracy and incomplete data in image recognition, providing reliable data support for smart agriculture. The dataset includes images collected in various horticultural environments using high-definition cameras, which have undergone multiple rounds of manual annotation and expert review to ensure quality. The annotation team consists of experts with a background in botany, and each image has been processed in a unified format. Data preprocessing includes denoising, color enhancement, and unified annotation formatting. 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It is used to advance research and applications in smart agriculture and gardening automation.",{"id":641,"question":642,"answer":643},5100,"What are the applications of the Garden Flower Chorisiaspeciosa Identification Image Dataset?","This dataset can be used to develop intelligent plant identification systems, agricultural monitoring tools, and automated gardening equipment, helping to improve agricultural efficiency and plant research.",{"id":645,"question":646,"answer":647},5101,"How can the Garden Flower Chorisiaspeciosa Identification Image Dataset be used for research?","Researchers can use this dataset to train machine learning models to improve the accuracy of flower recognition, explore innovative methods in image classification, or develop mobile applications for instant flower identification.",{"id":649,"question":650,"answer":651},5102,"What are the main features of the Garden Flower Chorisiaspeciosa Identification Image Dataset?","The main features include 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