Deep learning model for blurring license plates of vehicles in street-level imagery. A brief summary of the item is not available. Add a brief summary about the item.
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Item created: Feb 17, 2021 Item updated: Feb 3, 2025 Number of downloads: 5,530
Description
As democratization, availability, and acquisition of data is increasing, privacy is becoming a concern. Regulations such as GDPR have been introduced to address the privacy rights of the users. To help maintain privacy, this model can be used to prevent the identification of vehicles by automatically blurring the license plates. Additionally, the model can also be used to blur human faces.
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 cannot be fine-tuned using ArcGIS tools.
Input
8 bit, 3-band (RGB) street-level image.
Output
Image with blurred license plates.
Applicable geographies
This model is expected to work well in all regions globally. However, results can vary for imagery that are statistically dissimilar to training data.
Model architecture
Open-source Anonymizer model by understand.ai.
Limitations
This model is trained to blur license plates in images recorded with sensors that are typically used in autonomous vehicles. It does not work on low-quality or grayscale images or other extreme camera configurations such as fish-eye.
Sample results
Here are a few results from the model.
An in-depth description of the item is not available.
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This work is licensed under the Esri Master License Agreement.
No special restrictions or limitations on using the item's content have been provided.
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Dashboard views: Desktop
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Applicable: 2d
Size: 335.952 MB
ID: 2ae3cf1af09847a48d65c04b9da6a84f
Image Count: 0
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Using tiles from a cache
Dynamically from data
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No acknowledgements.Esri
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