As per the title - for object detection, “confidence” and “overlap” are parameters when making predictions; however, for instance segmentation, “overlap” is not available. Why is this the case?
If I’m mistaken, how can I adjust “overlap” for my instance segmentation model?
Thanks!
Just to add that when I downloaded the annotations and trained the model locally using YOLOv8, IoU (overlap) is a parameter and affects inference quite a lot, so curious why this wouldn’t be the case on Roboflow Instance Segmentation inference.
Hello there.
We do have this parameter for models - its name is iou_threshold
this is a base class being used: instance_segmentation_base - Roboflow Inference
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