Solar panels (Neural Network): Difference between revisions

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Created page with "The Solar panels Neural Network is a Convolution Neural Network that identifies solar panels, mainly situated on roofs of buildings. An Inference Overlay can be configured with this Neural Network. Its default settings are: :Preferred grid cell size: 0.1m :Inference mode: BBox Detection :Mask threshold: :Score threshold (Inference Overlay)|Score..."
 
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{{deprecated}}
The Solar panels Neural Network is a Convolution Neural Network that identifies solar panels, mainly situated on roofs of buildings.
The Solar panels Neural Network is a Convolution Neural Network that identifies solar panels, mainly situated on roofs of buildings.


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:Preferred [[grid cell size]]: 0.1m
:Preferred [[grid cell size]]: 0.1m
:[[Inference mode (Inference Overlay)|Inference mode]]: [[Inference mode (Inference Overlay)|BBox Detection]]
:[[Inference mode (Inference Overlay)|Inference mode]]: [[Inference mode (Inference Overlay)|BBox Detection]]
:[[Mask threshold (Inference Overlay)|Mask threshold]]:
:[[Mask threshold (Inference Overlay)|Mask threshold]]: 0.9
:[[Score threshold (Inference Overlay)|Score threshold]]:
:[[Score threshold (Inference Overlay)|Score threshold]]: 0.2
:[[Stride fraction (Inference Overlay)|Stride fraction]]: 0.50 (50%)
:[[Stride fraction (Inference Overlay)|Stride fraction]]: 0.50 (50%)



Latest revision as of 07:51, 9 October 2025

This functionality is deprecated and will be removed in the future.

The Solar panels Neural Network is a Convolution Neural Network that identifies solar panels, mainly situated on roofs of buildings.

An Inference Overlay can be configured with this Neural Network. Its default settings are:

Preferred grid cell size: 0.1m
Inference mode: BBox Detection
Mask threshold: 0.9
Score threshold: 0.2
Stride fraction: 0.50 (50%)

Identifiable features:

  1. Solar panel blue (oldest type)
  2. Solar panel gray (mid-aged type)
  3. Solar panel black (newest type)