Nikhila Ravi

speaker
227 appearances 1 recordings 1 series first heard Dec 2025 last heard 18 Dec

Nikhila Ravi’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Dec 2025 with 1.

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heavily prioritized and is really built into the data engine design.
Um, you know, Penktron, you wanna talk about how we design the data engine to really
scale exhaustivity because you know if a human was to sit and approach every single instance, it would take a really long time and and verify.
But we put a lot of effort into trying to to automate and speed up that process that such that we could get to the data scale and diversity needed to get to a step change.
Yeah, page five.
Yeah, now just to add to that, this is Penguin we're only is only talking about images.
I think video is a whole nother challenging beast and getting to that fully automated data engine is something that you know we tried to do in SAM two.
We actually didn't get to
That fully automated approach.
In SAM one we did.
We, you know, fully as A1B data set that we released was fully annotated automatically.
We didn't really get to that in SAM two for video and in SAM three for video, I think there's still like a lot of room to push on the sort of pseudo labeling for video and really be able to get to that same step change as we had on images.
Yeah, also video annotation is just so much more time intensive to to get to that to you may be able to ja tra annotate enough data to train a verifier.
Like video mask annotation we just found it was like very time intensive.
So maybe there are more efficient video annotation strategies.
I think there's, you know, a lot of exploration that could be done there too.
The masculine detection.
I think also in many video use cases, I think Prosep you were sharing on Roboflow
Users care more about detecting the objects rather than having unique identities.
So in m in some cases this maybe it's this isn't required to h preserve the identities throughout the video and you just want to essentially do
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