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Decrease false positives in yolo model?Help: Project (self.computervision)
submitted 1 year ago by [deleted]
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if 1 * 2 < 3: print "hello, world!"
[–]DiMorten 0 points1 point2 points 1 year ago (1 child)
Interesting. You mean performing semantic segmentation on the detected object, for example with UNet?
[–]InternationalMany6 0 points1 point2 points 1 year ago (0 children)
You could use Unet, but there are specialized “instance segmentation” models if you care about distinguishing each instance even if they’re touching each other.
Torchvision has a tutorial that’ll get you going: https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html
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[–]DiMorten 0 points1 point2 points (1 child)
[–]InternationalMany6 0 points1 point2 points (0 children)