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Swimming Pool Detector

Developed by mozilla-ai
A YOLOv11-based object detection model for detecting swimming pools in satellite images.
Downloads 87
Release Time : 2/25/2025

Model Overview

This model is specifically designed to identify and locate swimming pools from satellite images, suitable for applications such as Geographic Information Systems (GIS) and urban planning.

Model Features

Satellite Image Analysis
Object detection capabilities optimized specifically for satellite images.
Efficient Detection
Fast and accurate swimming pool detection based on the YOLO architecture.
Open Source License
Released under the AGPL-3.0 license, allowing free use and modification.

Model Capabilities

Satellite Image Analysis
Swimming Pool Detection
Object Localization

Use Cases

Urban Planning
Residential Area Facility Analysis
Analyze the distribution of swimming pools in residential areas via satellite images.
Can generate heatmaps of swimming pool distribution.
Geographic Information Systems
Map Data Updates
Automatically detect newly added swimming pools to update map data.
Improves the efficiency of map data updates.
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