Foliage (Neural Network): Difference between revisions
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(Created page with "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 size: 0.1m Inference mode: [[Inference mode (Inference Overlay)|BBox Detection]...") |
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An [[Inference Overlay]] can be configured with this Neural Network. Its default settings are: | An [[Inference Overlay]] can be configured with this Neural Network. Its default settings are: | ||
Preferred grid 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]]: | ||
[[Score threshold (Inference Overlay)|Score threshold]]: | :[[Score threshold (Inference Overlay)|Score threshold]]: | ||
[[Stride fraction (Inference Overlay)|Stride fraction]]: 0.50 (50%) | :[[Stride fraction (Inference Overlay)|Stride fraction]]: 0.50 (50%) | ||
Identifiable features: | Identifiable features: | ||
Revision as of 08:30, 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:
- Foliage
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