I’m trying to run predictions on a Roboflow 3.0 Instance Segmentation (Fast) trained model with 5 classifications, including multiple attributes for each class.
e.g. Class 1: Shape, Attributes: Full, Half, etc
Class 2: Defects, Attributes: None, Fungus, Dehydration, etc
Class 3, etc
Each image was labelled with smart polygons to annotate each walnut with multiple classifications and corresponding attributes.
The prediction json for such a model does not seem to return the attributes for each classification or am i missing something in the json?
I was expecting the attributes predicted along with the classes with this instance segmentation approach.
Is this the wrong approach for this problem?