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Pool Segmentation

Pool Segmentation Detection from Drone and Aerial Imagery

The presence of a swimming pool can affect the valuation of real estate, and the proper detection and analysis of swimming pools are essential to ensure a correct calculation of property taxes. However, it can be difficult for property tax assessors to keep track of residential and commercial swimming pools and update their records.


With the help of the deep learning model presented above, one is able to automate the process of detecting swimming pools and measuring them based on satellite images. Using high-resolution satellite and aerial images and machine learning techniques, one can detect swimming pools and analyze their parameters such as locations and sizes. Thus, organizations will be able to process large territories more effectively than by conducting manual inspections.


The model can be especially useful for assessing and appraising property tax, as it allows for detecting those swimming pools that might be missing in the existing database of properties. It means that new swimming pools, which were not registered in the databases before, could be added to them to conduct more accurate property valuations. Moreover, more thorough assessments might lead to the discovery of additional income for the government.


Apart from its use in property taxes, the technology has several other uses for swimming pool maintenance and service firms. Pool locations can be used for identifying new customers, assessing the service territory, and designing marketing strategies.


The technology can also be used by public health departments and mosquito control agencies and other environmental authorities. Untreated pools and pools left untreated could be breeding grounds for mosquitoes and hence constitute a public health risk. Automated pool mapping would help to assess, inspect, and treat these pools using appropriate measures.


By using high-resolution satellite imagery together with deep learning, computer vision, and automated geospatial analysis, this technology can provide a scalable approach to swimming pool mapping and measurement. The technology minimizes the cost of manual surveys, increases monitoring frequency, enhances efficiency, and provides geospatial information that is helpful to agencies.


In general, the automated swimming pool detection technology makes it possible to derive property and location intelligence through satellite imagery.

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