161K members. The best post we have captured here reached 178 upvotes, which works out to 1 per 1,000 members.
Open r/computervision on Reddit ↗
The mix of post types among everything we have captured. Posting a link where almost nothing but images lands is wasted effort, and this is the fastest way to see it.
Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.
The biggest posts we have captured here. Links go to the original on Reddit.
Ego Vision, Driving-action prediction using YOLO11 + ByteTrack + Depth Anything V2
Open-source CPU-only tracker for small aerial targets
Turn a GoPro on a bike into a georeferenced road-condition survey
Real-time license plate recognition running on live traffic cameras
ten UAV LiDAR flights over the same vineyard across two years, three seasons, and three altitudes
(wip) simittag, circular fiducial markers that does pose estimation + dense data.
Yoga Pose Classifier
Pheno4D: 14 plants laser-scanned daily for 20 days at 0.012mm accuracy with per-leaf instance tracking across the entire time series
3D path reconstruction using only 2D bbox
Making OCR outputs easy to manipulate
Within four times the member count either way, so the comparison is fair. Sorted by upside.
ViralHunt tracks Reddit and eight other networks, records how every post grows, and puts what is taking off in front of your team in one list.
Start free →Every figure here is what ViralHunt has captured from r/computervision, not everything the community has ever posted. We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong. Peak per 1,000 members is computed the same way for every community listed. See how we measure.