Classification

This rule checks that the image classifies as specific labels.

Parameter table

param	unit	required	description
confidence		no	The minimum confidence level required for the classification labels detection.
requiredLabels		yes	An array of classification labels to check for.

This rule evaluates whether an image contains classification labels. Key parameters include:

confidence: The minimum confidence level required for the classification labels detection.
requiredLabels: An array of classification labels to check for.

If no confidence level is specified, the default value is 30%. The rule will fail if the image does not contain all required labels.

valid	confidence	requiredLabels	description
✅	80	(Car, Person)	Image should contain the labels 'Car' and 'Person' with a confidence level of 80% or higher.
✅		(Axe)	Image should contain the label 'Axe'
❌	90	(Avocado)	Image should contain the label 'Avocado' with a confidence level of 90% or higher.