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Add docs to explain object assignment for classification

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Nicolas Mowen 2025-11-21 09:09:02 -07:00
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docs/docs/configuration/custom_classification/object_classification.md
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@ -35,6 +35,15 @@ For object classification:
- Ideal when multiple attributes can coexist independently. - Ideal when multiple attributes can coexist independently.
- Example: Detecting if a `person` in a construction yard is wearing a helmet or not. - Example: Detecting if a `person` in a construction yard is wearing a helmet or not.
## Assignment Requirements
Sub labels and attributes are only assigned when both conditions are met:
1. **Threshold**: Each classification attempt must have a confidence score that meets or exceeds the configured `threshold` (default: `0.8`).
2. **Class Consensus**: After at least 3 classification attempts, 60% of attempts must agree on the same class label. If the consensus class is `none`, no assignment is made.
This two-step verification prevents false positives by requiring consistent predictions across multiple frames before assigning a sub label or attribute.
## Example use cases ## Example use cases
### Sub label ### Sub label