This document explains how to use the Pylon Detection - USA deep learning model available on ArcGIS Living Atlas of the World. The model is used to detect pylons in high-resolution imagery.
Pylon detection holds significant importance in various fields, including urban planning, transportation, and public safety. It plays a crucial role in optimizing traffic flow, preventing accidents by ensuring clear visibility of road signs and signals, and aiding in urban planning decisions. Pylon detection also contributes to public safety by identifying damaged or fallen pylons promptly, and it plays a key role in energy efficiency by monitoring utility poles and power lines. In the context of smart cities, pylon detection is a fundamental component, enhancing overall efficiency and data-driven decision-making in urban development.
The use of GeoAI for pylon detection can have potential applications in urban planning, improving the safety, functionality, and sustain ability of modern urban environments.
License requirements
To complete this workflow, the following are the license requirements:
- ArcGIS Desktop—ArcGIS Image Analyst extension for ArcGIS Pro
- ArcGIS Enterprise—ArcGIS Image Server
- ArcGIS Online—ArcGIS Image for ArcGIS Online
Model details
This model has the following characteristics:
- Input—Raster, mosaic dataset, or image service (60 centimeter spatial resolution).
- Output—Feature class containing bounding boxes depicting pylon locations.
- Compute—This workflow is compute intensive, and a GPU with minimum CUDA compute capability of 6.0 is recommended.
- Applicable geographies—The model is expected to work well in the United States.
- Architecture—This model uses the MMDetection-based Dynamic-RCNN model architecture implemented in ArcGIS API for Python.
- Accuracy metrics—This model has an average precision score of 0.95.
Access and download the model
Download the Pylon Detection - USA pretrained model from ArcGIS Living Atlas of the World. Alternatively, access the model directly from ArcGIS Pro, or consume it in ArcGIS Image for ArcGIS Online.
- Browse to ArcGIS Living Atlas of the World.
- Sign in with your ArcGIS Online credentials.
- Search for Pylon Detection and open the item page from the search results.
- Click the Download button to download the model.
You can use the downloaded .dlpk file directly in ArcGIS Pro, or upload and use it in ArcGIS Enterprise. Additionally, you can fine-tune the pretrained model if necessary.
Release notes
The following are the release notes:
| Date | Description |
|---|---|
| November 2023 | First release of Pylon Detection - USA |