Joseph Nelson
speaker
239 appearances
1 recordings
1 series
first heard Dec 2025
last heard 18 Dec
Joseph Nelson’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Dec 2025 with 1.
Appearances
Where our mission is to make the world programmable.
We think software should have the sense of sight, and models like SAM and others are critical to unlocking that capability.
Now, millions of developers, half the Fortune 100, build with Robaflow's tools and infrastructure to create and deploy models to production.
We've been big believers of the meta family of open source models all the way back to like mask RCNN and Detectron 2.
All the way to present of SAM 1, SAM2, and SAM 3.
The work that the Meta team does to advance state-of-the-art and open source computer vision has been bedrock to enabling developers and enterprises globally to adopt AI.
So we've been big fans of the work, and I'm pleased to be joining you today, Swix, to co-host the episode on SAM three.
And you guys shift your own debtor model too.
Yeah, we've been we've been doing some work to advance uh machine learning research too.
Like one of the, for example, Deber Detection Transformers, which was born out of NERUPS last year, I think Switch, you actually challenged us.
You were like, hey, what are some of the advancements that are happening in computer vision and in visual AI?
And we had this observation that transformers had surpassed a lot of CNNs in vision tasks, but they hadn't been made to run real time as in, you know,
Over 30 frames per second, for example, on like a small T4, or excuse me, small like edge device and hundreds of frames per second on like a T4.
We did some research and published RF data, Reboflow Detection Transformer, which is, you know, we kind of joke the greatest of all time model for doing real-time segmentation and object detection on the edge.
Now, in RF Data, it's, you know, you have to have a fixed class list and need to know some of the objects that you want.
to segment at a time.
But for anyone that's running on like constrained compute and on an edge device and wants like an Apache 2 model to do that, RF Deta and its family of models are key to fulfilling that mission and that goal.
One of the other demos that I have is like a busy a busy scene for like doing labeling, which we can do later on, but just to give you a preview, it's like if you wanted to find
Tablecloth and maybe like back there there's like airplanes, so I'll do airplane.
And you kinda get the ability to start to
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