SAM 3

“I would say that it's likely that the benchmark will last longer than our Samsung model. Maybe kind of next year there will be a stronger model, but the benchmark is kind of the one that I hope to guide the community to kind of get better and better models kin…”

“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.”

“In SAM-III we did leverage many of the open source contributions people have made on top of SAM-II. There were new data sets, there were new benchmarks, There were new kind of inference time optimizations. We adopt a lot of the things that the community builds…”

“I think at least I want to bet on, you know, running their work natively together, the future for simple, I would say for simple or even intermediate difficult vision tasks. For example, kind of counting with less than 20 objects. I think for this kind of simp…”

“We are really having a unified model that can do many different tasks in the same unified architecture. And so, you know, then the same way that LLMs can do many different tasks without needing a task-specific model. Like with SAM-III, we're able to do image-p…”

“So there is a trade off between kind of the kind of the latency and the accuracy here. If you care more about accuracy, then you can use kind of this kind of overall kind of information can all cause the mass net. To get kind of more robust signal about the co…”

“We kind of fine-tune our, kind of, for example, NAMA's 3.2 with our, kind of, verification, human annotated verification data. We get, kind of, superhuman performance on these two verification tasks, and then we do not need human on these two tasks. Let's furt…”

“In fact, during our data engine, we intentionally do not sample OCR-heavy images.”

“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…”

“Each of the, it scales with the number of detected objects.”

“The detector needs to be identity agnostic. So if you have a concept dog, it needs to be able to find all instances of that dog. And it needs to sort of have this representation of dog that is the same for all dogs. But when you're tracking those dogs through …”

“We basically add this presence token to the model, which explicitly separates the task of recognition and localization.”

“We have about 70, more than 70% of the annotations are these like negative phrases that are not present in the image.”

“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.”

“We launched actually three separate models this time. It was SAM-III, SAM-III objects, and SAM-III body. Those were two completely separate models and SAM III is just the image and video understanding model.”