Pinned Tweet
Ran over to my local CVS to buy a new mascara and test out our product pages irl
#FutureofRetail #VisionAI
8
Sundial.ai retweeted
It takes longer to read the article about their synthetic data gen (8 minutes) than it takes @sundial to render you a full trainable dataset (3 minutes)
Sundial.ai retweeted
I think @sundial just set a world record. We created a dataset and trained one single mlmodel to do bounding box, keypoints, segmentation, and classification, in exactly 600 seconds.
Opening to the public on Thursday. Ping me for invite.
Sundial.ai retweeted
"Among daily @Snapchat users in the U.S., Snap and GWI found that 67% of those 16 and older do not use Twitter every day, 53% do not use YouTube every day, 51% do not use TikTok every day and 41% do not use Facebook every day."
Sundial.ai retweeted
Finally, my first complete proof of concept of what AR filmmaking can be using Snapchat tech.
- New silky smooth 3D body tracking
- Face tracking
- 3D Camera tracking
- 6DOF Seurat environment
All running simultaneously on a phone. Just point your phone at a friend & film. (1/4)
Sundial.ai retweeted
Thanks for sharing, actually you can test it now with @Spectacles AR glasses 👓 , no need for waiting Google ☺️
@SnapAR
#Google recently announced they were testing new #AR prototype glasses, lenses for visual search and more.
The kind of amazing images seen in this video will be possible when wearing the new glasses and were created with depth illusion by the incredible @boona11
#GoogleGlass
Sundial.ai retweeted
We score 5/5 on this somehow
@adashek needed to track food, I was watching what Apple was doing with ARKit, (and was mad it couldn’t track objects), our friends @balajis and @jeffseibert suggested we’d build a platform, and @joe_darko and snap flooded us with users
My biggest surprises from researching how 50 of today's biggest consumer companies came up with their startup idea:
1. Only 1 company came up with their idea by talking to customers (@DoorDash)
2. Only ~30% of ideas came from founders trying to solve their own problem
More 👇
Sundial.ai retweeted
Working on some simple scene support for @CubismVR to enable a proper table-top mode.
#ar #madewithunity #MetaQuest2
Sundial.ai retweeted
Our Lensathon 2022 submission.
It was an absolutely a privilege to work with some of the greatest talent in the AR community. @JinneTheWew and Meredith Binnette. I consider myself lucky I got to work on a team with them!
#JuneLensathon22
Sundial.ai retweeted
Waited until the 11th hour, but I submitted for the @SnapAR Lensathon. Thanks @tacolamp and @joe_darko for the extra motivation! Watch (and listen) below...
Sundial.ai retweeted
Here is a demo of my lens for the lensathon 🤩
@SnapAR @sophiaedm @joe_darko @RayanZahab #augmentedreality
Sundial.ai retweeted
The Snap AR #Lensathon 2022 is ALMOST over! What category are you most excited about? Tell us more in a reply and don’t forget to submit at snaplensathon.devpost.com/
27%Interactive Play
25%Wellness & Fitness
21%Education
27%Fashion
52 votes • Final results Sundial.ai retweeted
I can’t easily express how hard of a challenge this was to solve but man it feels great to have solved it!
Sundial.ai retweeted
Could build this app for real on @sundial
Sundial.ai retweeted
If you know any top AR creators or developers in Japan 🇯🇵 certainly reach out to me! Thank you! :)
Sundial.ai retweeted
Reason why you should register for the @SnapAR Lensathon early, even if you plan to submit your project before the July 13th deadline?
We'll be sending constant communication to registered participants and will host dedicated workshops!
REGISTER TODAY:
snaplensathon.devpost.com/
Sundial.ai retweeted
A few months ago @jsusskin and team published a paper, Hypersim, on using synthetic data (3d renders of interior environments) , to train a neural network. This is the output from that.
We use a similar approach at @sundial
machinelearning.apple.com/re…



















