Everything Joseph Nelson said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Nelson: Users Ran 8 Million Inferences in SAM 3's First Five Days
“I mean, in the first five days of SAM three, there was like eight million inferences of folks that were running across all diverse sets of fields.”
Nelson: A Single Negative Example Goes a Long Way in Vision Fine-Tuning
“I can offer anecdotally that a single negative example goes a long way.”
Nelson: SAM 3 Open Text Boxes Will Trigger Many Unprimed User Queries
“Now that you've kind of given this open text box for media, there's going to be a flood of the types of things users are going to want to try to do, some of which SAM is already going to be really well adapted to do, some of which not.”
Nelson: Last-mile computer vision requires aligning intention, not knowledge
“And so this is why, like, in some ways human in the loop, because identifying human intention, not necessarily human knowledge is what's going to be important for a lot of last mile use.”
Production computer vision still requires user prompting to isolate targets
“But even if you had, like, a perfect SAM, like an omniscient SAM that could see every segment in every domain with all pixels perfectly outlined, in production, you still need some way to almost, like, signal to the model what you care about.”
Segment Anything models underperform compared to other models on screenshots
“And one place where, interestingly, segment anything may be less performant than other models is handling screenshots.”
Nelson: Millions of developers and half the Fortune 100 use Roboflow
“Now, millions of developers, half the Fortune 100, build with RoboFlow's tools and infrastructure to create and deploy models to production.”
Nelson: Roboflow Records 106 Million Annotations Powered by Meta SAM
“And we've seen basically a hundred and six million kind of smart poly created examples that are SAM one, two, or three powered.”
Nelson: Roboflow users overwhelmingly voted for SAM 3 in blind pre-release testing
“That's actually interesting because we had blind tested SAM three before it was released, not a SAM three, just for people to try and compare. I think we call it like a potential SAG or SAG preview or something. And we allowed users to vote and they kind of un…”
Nelson: MedSAM-3 was released within one week of SAM 3
“Within a week of releasing SAM three med SAM three came out for adapting SAM into medical contexts.”
Nelson: Users have created hundreds of fine-tunes of SAM 3
“And I think we're already beginning to see that with hundreds of fine tunes that users are creating for various domains.”
Nelson: Roboflow users labeled 49M images using SAM in one year
“I recently pulled statistics from the usage of Sam in RoboFlow over the course of the last year, and users have labeled about forty nine million images using segment anything on the hosted side of the RoboFlow platform, and that's like five million in the last…”
Developers are combining SAM 2 with Grounding DINO and Florence-2
“We've already seen applications of using SAM-II in tandem with models like Grounding Dino or Florence-II, so that people can basically text prompt And then get the benefits of the zero shot segmentation at the same time as getting the open form querying.”
Nelson: Smallest SAM 2 model has 38M parameters and runs at 45 FPS
“The smallest model is thirty-eight million parameters and can run at 45 FPS on an A-one hundred, right?”