This document explains how to use the Parking Spot Detection—USA pretrained model available on ArcGIS Living Atlas of the World. The model is used to detect and classify parking spots from high-resolution aerial and drone imagery.
Due to the increase in the number of private vehicles, finding a vacant parking spot is very exhausting. It consumes a lot of time and money. This is also responsible for the increase in toxic vehicular emissions which contribute to air pollution. This is especially a big problem in metropolitan cities. Traditionally, parking lots are manually digitized and classified, which is a very labour and time-intensive task. Automating the task of detecting and classifying parking lots using a deep learning model can be a good alternative to this manual process. This model uses high-resolution aerial and drone imagery due to its high spatio-temporal coverage, which is required for such tasks.
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 (7–10-centimeter spatial resolution).
- Output—Feature class containing bounding boxes depicting classified parking spots.
- Compute—This workflow is compute intensive and a GPU with compute capability of 6.0 or higher is recommended.
- Applicable geographies—This model is expected to work well in the United States.
- Architecture—This model uses the MaskRCNN model architecture implemented in ArcGIS API for Python.
- Accuracy metrics—This model has an average precision score of 0.64 for vacant parking spots and 0.69 for occupied parking spots class.
Access and download the model
Download the Parking Spot 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 Parking Spot Detection—USA 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 |
|---|---|
| April 2023 |
|