Prioritize labels (Inference Overlay)

Icon	Attribute	Unit	Range	Description	Default value
	PRIORITIZE_LABELS	boolean	0.0 or 1.0	Whether overlapping identified features should be processed in the order of their label value.	1.0

Notes

• Identified features are
• When this option is set to true, the identified features are sorted based on their label, then on their score and then on their size.
• When this option is set to false, the identified features are still sorted based on their score and then based on their size.
• Trained Neural Networks can override the default value of this attribute, by specifying it in the meta data using the PRIORITIZE_LABELS attribute name as its key.

---

Inference Overlay

Inference Overlay

Tutorials

Overview

Theory

Benchmarks

Group

Model attributes

Inference

Neural Network • Input tensor • Output tensor

Model attributes

Box overlap • Inference mode • Mask threshold • Prioritize labels • Score threshold • Stride fraction

Prequels

A • B

Result types

Boxes • Labels • Masks • Scores • Debug gt instances • Center points

Neural Networks

Foliage • Solar panels