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Any - OK if the rule is true for at least one of the classes (e.g. rule “Any Count = 10” is true if Class1 count is 10 and Class2 count is 4)
Every - OK if the rule is true for each of the classes found in image (e.g. rule “Every Count = 10” is true if Class1 count is 10 and Class2 count is 10)
Together - OK if the rule is true for all classes present in the image combined (e.g. rule “Together Count = 10” is true if Class1 count is 6 and Class2 count is 4)
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If you set the rules for a trained model and then train another one, the rules are automatically copied to the new model, so you don’t need to set them again if no changes in evaluation are needed. |