Inference mode (Inference Overlay): Difference between revisions
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|attribute=INFERENCE_MODE | |attribute=INFERENCE_MODE | ||
|unit=nominal value | |unit=nominal value | ||
|description=The type of inference is applied by the configured [[Neural Network]] of an [[Inference Overlay]] | |description=The type of inference is applied by the configured [[Region-based Convolutional Neural Network (Inference Overlay)|Region-based Convolutional Neural Network]] of an [[Inference Overlay]] | ||
|icon=inferencewizard_icon_inference_mode.png | |icon=inferencewizard_icon_inference_mode.png | ||
|defaultvalue=0 (Entire map) | |defaultvalue=0 (Entire map) | ||
Revision as of 15:52, 29 June 2026
| Icon | Attribute | Unit | Range | Description | Default value |
|---|---|---|---|---|---|
 |
INFERENCE_MODE | nominal value | 0.0 or 1.0 | The type of inference is applied by the configured Region-based Convolutional Neural Network of an Inference Overlay | 0 (Entire map) |
| 0. | Classification: classifies an image. Predicts label probabilities; the image contains or represents (a) particular type(s) of feature(s). For example a tree or a solar panel. |
| 1. | BBox detection: detects several features in an image, including the probability it is a particular feature and where it is located. |
Notes
- Trained Region-based Convolutional Neural Networks can override the default value of this attribute, by specifying it in the meta data using the INFERENCE_MODE attribute name as its key.