Public evidence record
Published podcast speaker
Claim ledger
10 transcript-backed records
01 / belief
“I think that could definitely unlock some of these edge use cases that we were able to make a compelling web demo without having to do that.”
02 / belief
“I think we're not really exposed to that. Maybe you are at Roboflow because you get to see all the users of these tools.”
03 / belief
“I think that's not a direction we'll go in, but as you said, like the model is an annotation tool to improve the model. And so I think that's definitely the approach we want to take is we provide the tools for you to improve the model as well as the model itself.”
04 / belief
“There's many different approaches to tracking, I think I would encourage people to think about like what actually they need for their use case and then try to find something that that fits versus, yeah, maybe SAM2 is too much, you know, maybe you don't even need the full mask.”
05 / belief
“We, you know, need it to be real time and. Those requirements really are very core to how we think about these models.”
06 / belief
“There's different lighting conditions. They can deform, but I think a difference to language models is probably the amount of context that you need is significantly less than maintaining a long multi time conversation.”
07 / uncertainty
“People in the community help us address, but one definitely challenging case is where there are multiple similar looking objects, especially if that's like a crowded scene with multiple similar looking objects, keeping track of the target object is a challenge. That's still something that I don't know if we've solved perfectly, but again, the ability to provide refinement clicks.”
08 / recommendation
“Use the demo as a way to improve our annotation tool. And so then it becomes very natural to invest in building a good demo because it speeds up your annotation and improves the data quality and that will improve the model quality.”
09 / evaluation
“For example, the t shirt of a person, SAM2 can track the t shirt effectively across the entire video, whereas these baselines might actually start tracking the entire person, because that's what they're used to doing, and isolating it to just one part of the person is not something they were ever trained to do, and so those are sort of some of the limitations.”
10 / evaluation
“That looked like it, but we didn't have to label it. And so that means that even when you use SAM for applications that it wasn't really trained for, because we didn't restrict it to a certain set of categories, you can actually use it out of the box without custom adaptation.”