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Culture","lang",{"id":564,"unique_code":565,"title":566,"icon":8,"intro":567,"cate":480,"detail":568,"create_time":569,"update_time":570,"price":571,"view_count":572,"download_count":480,"unit":492,"amount":573,"is_create_order":574,"enterprise_id":488,"seo_keywords":575,"seo_description":576,"data_format":577,"file_size":578,"apply_scene":579,"training_task":580,"version":581,"dataset_type_id":574,"dataset_scene_id":541,"sample_file":582,"banner":8,"unit_name":583,"cate_name":446,"icon_url":8,"banner_url":584,"sample_file_url":8,"data_dict":585,"qa_list":635,"sample_metadatas":652,"text_sample_content":8,"enterprise_name":723,"enterprise_logo":724,"data_distribution":725},936,"a5f6349eb517d6b6cfcc5a7f0c096ee2","Semantic Segmentation Image Dataset for Balconies Facade and Hanging Objects Safety Risks","The semantic segmentation image dataset for balconies facade and hanging objects safety risks helps identify household safety hazards.","In the context of rapid urban development, the facades and hanging objects on balconies of apartments and homes have increasingly become part of safety concerns, posing potential threats to safety in daily life. Existing manual safety inspections are not only time-consuming and prone to omissions but also unable to effectively support real-time monitoring needs. This dataset aims to improve the efficiency of identifying safety hazards on balconies and hanging objects through precise semantic segmentation, meeting intelligent monitoring business needs. Image data of balconies in urban and rural residential buildings are collected by drone equipment from different heights and angles to ensure diversity and authenticity. During the data collection process, quality is strictly controlled using multiple annotation rounds and consistency checks, with all annotation results audited by a 30-member team with architectural and safety expertise. Data preprocessing adopts advanced technologies such as denoising, cropping, and enhancement, stored in JPG format and organized by building type and region. The annotation accuracy of this dataset reaches 95%, ensuring high consistency and completeness, utilizing improved annotation techniques and quality evaluation methods to enhance monitoring efficiency and safety. Compared to similar datasets, this dataset has unique advantages in terms of data breadth and rarity, providing diverse scenarios of urban and rural areas, and supporting multi-task extension applications. Through the application of this dataset, the accuracy of risk detection for balconies façades and their hanging objects has increased by 20%, showing significant application value.","2026-02-04 16:53:57","2026-10-19 16:41:45","0.00",761,500,0,"balcony safety, hanging object risk, semantic segmentation, image dataset, building monitoring","High-precision semantic segmentation dataset for the safety risks of balcony facades and hanging objects.","JPG","1.5G","building safety monitoring, smart city management, home security, property management","semantic segmentation, image recognition, safety hazard 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Present","hanging_objects_present","Indicates whether hanging objects are present in the image.",{"id":611,"name":612,"field":613,"intro":614,"type":590},6726,"Hanging Objects Type","hanging_objects_type","The type of hanging objects, such as clothing or flower pots.",{"id":616,"name":617,"field":618,"intro":619,"type":590},6727,"Risk Level","risk_level","The safety risk level of the hanging objects in the image, such as low, moderate, or high.",{"id":621,"name":622,"field":623,"intro":624,"type":590},6728,"Weather Condition","weather_condition","The weather condition at the time the image was captured, such as sunny, cloudy, or rainy.",{"id":626,"name":627,"field":628,"intro":629,"type":590},6729,"Time of Day","time_of_day","The time of day when the image was captured, such as morning, afternoon, or evening.",{"id":631,"name":632,"field":633,"intro":634,"type":599},6730,"Visible Damage","visible_damage","Indicates whether there is visible damage to the balcony or hanging objects in the image.",[636,640,644,648],{"id":637,"question":638,"answer":639},4814,"How does this dataset help identify safety hazards on the exterior of balconies?","This dataset uses semantic segmentation techniques to label and identify potential safety hazard features in images of balcony exteriors and hangings.",{"id":641,"question":642,"answer":643},4815,"What are the applicable scenarios for this dataset?","It is primarily used for home safety inspections, property management, and risk assessment and preventive measures in building inspection fields.",{"id":645,"question":646,"answer":647},4816,"What are the advantages of semantic segmentation in home safety monitoring?","Semantic segmentation can accurately identify and classify safety hazards in images, allowing for more effective monitoring and management of home safety.",{"id":649,"question":650,"answer":651},4817,"How was this dataset constructed?","The dataset was constructed by collecting various images of balcony exteriors and 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