Foliage (Neural Network): Difference between revisions

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|seealso=*[[Inference Overlay]]
|seealso=*[[Inference Overlay]]
*[[Foliage (Heat Overlay)]]
*[[Foliage areas (Heat Overlay)]]
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Revision as of 08:32, 16 October 2024

The Foliage Neural Network is a Convolution Neural Network that identifies foliage of individual trees and bushes, mainly for gardens and private property. This Neural Network is not suited for identifying individual trees within forested areas.

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:
Stride fraction: 0.50 (50%)

Identifiable features:

  1. Foliage

Notes

How-to's

  • [[]]

See also