Foliage (Neural Network)
Revision as of 08:29, 16 October 2024 by Frank@tygron.nl (talk | contribs) (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]...")
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: BBox Detection Mask threshold: Score threshold: Stride fraction: 0.50 (50%)
Identifiable features:
- Foliage
{{article end