Swimming pools significantly influence property value, making them important for accurate property tax assessment. However, local tax assessors often depend on costly, infrequent surveys, which can lead to outdated records and missed assessments, especially for newly constructed or unregistered pools. Identifying such pools can increase assessment accuracy and generate additional revenue for local governments.

This deep learning model automates the detection of swimming pools using high-resolution satellite imagery. Beyond tax assessment, the model offers value to swimming pool maintenance companies for targeted marketing and to public health or mosquito control agencies for identifying stagnant water sources, guiding field inspections, and mitigation efforts.