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Deep learning model to detect cars in high resolution imagery. A brief summary of the item is not available. Add a brief summary about the item.

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Item created: May 28, 2021 Item updated: Dec 27, 2024 Number of downloads: 18,208

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Description

This deep learning model is used to detect cars in high resolution drone or aerial imagery. Car detection can be used for applications such as traffic management and analysis, parking lot utilization, urban planning, etc. It can also be used as a proxy for deriving economic indicators and estimating retail sales. High resolution aerial and drone imagery can be used for car detection due to its high spatio-temporal coverage.

Using the model
Follow the guide to use the model. Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.

Fine-tuning the model
This model can be fine-tuned using the Train Deep Learning Model tool. Follow the guide to fine-tune this model.

Input

High resolution RGB imagery (5 - 20 centimeter spatial resolution).

Output

Feature class containing detected cars.

Applicable geographies

The model is expected to work well in the United States.

Model architecture

This model uses the MaskRCNN model architecture implemented in ArcGIS API for Python.

Accuracy metrics

This model has an average precision score of 0.81.

Training data
This model has been trained on an Esri proprietary car detection dataset.

Sample results

Here are a few results from the model. To view more, see this story.





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Terms of Use

https://downloads.esri.com/blogs/arcgisonline/esrilogo_new.png This work is licensed under the Esri Master License Agreement.

No special restrictions or limitations on using the item's content have been provided.

Comments (3)

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holl54_HOLL Item Owner commented 7 months ago Delete Reply

huh

[Deleted User] Item Owner commented 4 years ago Delete Reply

Thanks for this impressive work. I was wondering if you have the input RGB 3-band image to use as an input for practice?

ptuteja_geosaurus Item Owner commented 4 months ago Delete

You could download imagery from https://openaerialmap.org/ to try running this model. Additionally, you could find some sample imagery from our notebooks for example: https://developers.arcgis.com/python/latest/samples/count-cars-in-aerial-imagery-using-deep-learning/

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