Deep learning model to detect cooling towers 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: Nov 15, 2023 Item updated: Jan 2, 2025 Number of downloads: 904
Description
A cooling tower is a device used to remove excess heat from a process or building by transferring it to the atmosphere. It is commonly used in industrial and commercial settings to cool down water or other fluids, thus cooling the infrastructure it serves.
Detecting cooling towers in aerial imagery can be very useful. Aerial imagery provides a comprehensive view of cooling tower locations, sizes, and conditions. Detecting the cooling towers in aerial imagery allows for identifying and monitoring cooling tower installations in industrial and commercial areas. This information can enable better decision-making and resource allocation for urban planning, environmental studies, and infrastructure management. It also helps in the proper maintenance of these towers.
Manually detecting the cooling towers in aerial imagery can be inefficient and time-consuming. Use this deep learning model to automate this task and reduce the time and effort required for detecting the cooling towers.
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
8-bit, 3-band high resolution (4-15 centimeters) imagery.
Output
A feature class representing detected cooling towers.
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 0.72.
Training data
This model has been trained on an Esri proprietary cooling tower detection dataset.
Sample results
Here are a few results from the model.
An in-depth description of the item is not available.
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Dashboard views: Desktop
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Applicable: 2d
Size: 157.398 MB
ID: b76483d136e543b38e8a275250887d8d
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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