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classification of horticultural flowers such as balloon flowers face challenges brought by image diversity and natural environmental changes. Many existing solutions rely on traditional manual identification, which is inefficient and prone to errors. The construction of this dataset aims to provide an efficient image recognition training set for smart agricultural management, supporting automated flower classification and detection, thereby improving industry operational efficiency and accuracy. Data collection uses high-resolution cameras to shoot under different lighting and climate conditions, ensuring scene diversity. The data undergo several rounds of expert annotation, consistency checks, and multi-level reviews to ensure high annotation accuracy and consistency. The annotation team consists of botany and image analysis experts, with a scale of 20 people. Images are pre-processed with noise filtering and edge enhancement and are organized in JPG format for quick reading and training.","2026-02-04 17:08:12","2026-10-19 17:44:18","0.00",605,500,0,"Balloon flower recognition, Flower image dataset, Horticultural plant images","High-quality image dataset created for the automatic recognition of horticultural balloon flowers.","JPG","1.6G","Horticultural plant recognition, Flower detection, Agricultural management","Image classification, Object detection, Machine vision","V1.0","sample\u002F972\u002Fdab1893ebfab43f9aca8e0a1aed5a80d.zip","records","https:\u002F\u002Fstatic.mobiusi.com\u002Fmanual_sorting_data\u002F20260202\u002Fb41e26ce884d11262c10e77ffd68264b.jpg?Expires=1792470432&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=gfDeZrGm1kLqBmf23A65yxAs6b0%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_500%2Ch_250",[586,591,594,599,604,609,615,620,625],{"id":574,"name":587,"field":588,"intro":589,"type":590},"File Name","file_name","File 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the flower in the image, such as bud, full bloom, etc.",{"id":621,"name":622,"field":623,"intro":624,"type":590},7017,"Surrounding Vegetation","surrounding_vegetation","The type of vegetation surrounding the balloon flower in the image.",{"id":626,"name":627,"field":628,"intro":629,"type":630},7018,"Flower Size","flower_size","The diameter or size information of the flower, used to understand the growth condition of the flower.","float",[632,636,640,644,648],{"id":633,"question":634,"answer":635},4995,"What are the application scenarios of this dataset?","The Garden Flowers Bellflower Recognition Image Dataset can be used in agriculture research, flower classification, horticultural education, and other fields to enhance image recognition technology applications in agriculture and forestry.",{"id":637,"question":638,"answer":639},4996,"What types of images are included in the dataset?","The dataset includes various images related to garden flowers bellflower, covering flower photos under different angles and lighting conditions.",{"id":641,"question":642,"answer":643},4997,"What problems can this dataset help solve?","This dataset can improve the computer's ability to automatically recognize and classify bellflower flowers in agriculture and forestry, thereby supporting agricultural applications and related research.",{"id":645,"question":646,"answer":647},4998,"Who can benefit from this dataset?","Agriculture and forestry researchers, image recognition technology developers, and horticultural professionals can all benefit from this dataset, optimizing their work outcomes.",{"id":649,"question":650,"answer":651},4999,"How can researchers utilize this dataset?","Researchers can use this dataset to train machine learning models to enhance the accuracy of machine recognition and classification of bellflower 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