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.
A pylon is an essential structure in various industries. It serves roles such as supporting power lines or signaling important locations. Detecting pylons in high-resolution satellite or aerial imagery is crucial for infrastructure maintenance and ensuring power grid reliability. Detecting pylons is important for safety, as it can help in identifying damaged or fallen pylons. It can also prevent accidents by ensuring clear visibility of road signs and signals. Detecting pylons can be useful for optimizing traffic flow and aiding in urban planning decisions. Use this deep learning model to automate the task of detecting pylons in high-resolution satellite or aerial imagery.
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 Pro or Professional Plus user type
Model details
This model has the following characteristics:
- Input—This model uses a raster, mosaic dataset, or image service (60 centimeter spatial resolution).
- Output—This model outputs a 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 |