Solar panels (Neural Network) - Revision history

Maxim@tygron.com at 07:51, 9 October 2025

2025-10-09T07:51:11Z

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	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.

Maxim@tygron.com at 07:50, 9 October 2025

2025-10-09T07:50:25Z

← Older revision		Revision as of 07:50, 9 October 2025
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	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.

Frank@tygron.nl at 15:02, 16 October 2024

2024-10-16T15:02:02Z

← Older revision		Revision as of 15:02, 16 October 2024
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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%)

Frank@tygron.nl: 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..."

2024-10-16T11:27:16Z

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..."

New page

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 (Inference Overlay)|Inference mode]]: [[Inference mode (Inference Overlay)|BBox Detection]]
:[[Mask threshold (Inference Overlay)|Mask threshold]]:
:[[Score threshold (Inference Overlay)|Score threshold]]:
:[[Stride fraction (Inference Overlay)|Stride fraction]]: 0.50 (50%)

Identifiable features:
# Solar panel blue (oldest type)
# Solar panel gray (mid-aged type)
# Solar panel black (newest type)

<gallery widths="200">
solar_panel_inference_labels.jpg|[[Labels result type (Inference Overlay)|Labeled features]] on 0.1m satellite image
solar_panel_inference_scores.jpg|[[Scores result type (Inference Overlay)|Label Scores]]
solar_panel_inference_masks.jpg|[[Masks result type (Inference Overlay)|Pixel Masks]]
solar_panel_inference_boxes.jpg|[[Boxes result type (Inference Overlay)|Bounding Boxes]]
</gallery>

{{article end
|notes=
|howtos=
*[[How to detect solar panels using an Inference Overlay]]
*[[How to update Buildings's solar panel attribute based on an Inference Overlay]]
|seealso=*[[Inference Overlay]]
*[[Neural Network]]
*[[Solar panels (Function Value)]]
*[[Solar panels (Indicator)]]
}}
{{InferenceOverlay nav}}