Hi Faulty!



 FaultyBagnose:

Is there a tutorial for the (presumably simpler) task of object detection without segmentation, where the task is to learn bounding boxes with class labels only?


I don’t believe that there is a tutorial for detection, per se, but pytorch
does provide two pure detection models in torchvision:
Faster R-CNN 6
RetinaNet 1
(I haven’t used either of these.)
Pytorch’s object-detection tutorial 5 illustrates the use of Mask R-CNN,
but does also talk about Faster R-CNN some.  So you ought to be
able to use that tutorial for Faster R-CNN (or RetinaNet), leaving
out the instance-segmentation stuff.
Best.
K. Frank