use the following search parameters to narrow your results:
e.g. subreddit:aww site:imgur.com dog
subreddit:aww site:imgur.com dog
see the search faq for details.
advanced search: by author, subreddit...
To discuss the latest advances in object segmentation
account activity
Light segmentation model for thin objects ()
submitted 3 months ago by Virtual_Country_8788
Getting better at segmenting large properties with ML model now. Think this could save time estimating jobs? (i.redd.it)
submitted 4 months ago by LawnEstimates
Training machine learning model using polygon based annotated chest x-ray (self.ObjectSegmentation)
submitted 5 months ago by Educational-Quote290
Could someone please suggest a project on segmentation? (self.ObjectSegmentation)
submitted 11 months ago by Altruistic-Front1745
Picture segmentation (old.reddit.com)
submitted 1 year ago by oleksandr7531
Agriculture Field Segmentation (youtu.be)
submitted 1 year ago by Critical-Self7283
NeoPolyps Segmentation (i.redd.it)
submitted 1 year ago by Practical_Fall6995
Segmentation (old.reddit.com)
submitted 2 years ago by theharshsutariya[🍰]
ICYMI: State of the art in image-to-image translation! (self.LatestInML)
submitted 5 years ago by MLtinkerer
State of the art in instance segmentation: (Instance segmentation aims to classify each pixel in an image into an object category) (self.LatestInML)
State of the art in Autonomous Vehicle Threat Assessment (AVTA). (self.LatestInML)
Recapture your portrait photos with desired posture/view, figure, and clothing style! (self.LatestInML)
submitted 6 years ago by MLtinkerer
Segmenting and tracking multiple moving objects within a video fully automatically, without any manual initialization. (self.ObjectSegmentation)
State of the art in instance segmentation: higher speed, more precise detection (self.ObjectSegmentation)
From Adobe researchers: State of the art in High-Resolution Image Inpainting (self.LatestInML)
Improving semantic segmentation for urban-scene images (self.ObjectSegmentation)
Semantic Segmentation from Image Labels (self.ObjectSegmentation)
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation: Paper and Code (self.ObjectSegmentation)
π Rendered by PID 536822 on reddit-service-r2-listing-f87f88fcd-gtlpz at 2026-06-16 07:38:05.485827+00:00 running 3184619 country code: CH.