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ImageNet

includes ImageNet Challenge

2 statements across 2 episodes · 1 bullish · 0 bearish · 2 people on the record · first statement Jan 2, 2019 by Chris Dixon · said 22 times in 13 episodes since 2017 · across every show →

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brought up most by Martin Casado (7), Steven Sinofsky (2), Fei-Fei Li (2), Saurabh Ladha (1), Ryan Chi (1), Kim Branson (1), Justin Johnson (1), Harry Shum (1)

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Everything said about ImageNet, oldest first

Jan 2, 2019 bullish
Assertion Supported
Chris Dixon: AI error rates on ImageNet have surpassed human accuracy
“Like the, if you look at the results, like image net's a good, it's a good example where the, you know, it's been the error rates were 30% or something, and now are better than humans.”
Chris Dixon Jan 2, 2019 ▶ 23:32 a16z Podcast | Not If, But How -- When Technology is Inevitable (with Kevin Kelly)
Sep 20, 2024 neutral
Assertion Not checkable as stated
Fei-Fei Li: AlexNet's architecture mirrored 1980s models, unlocked by GPUs
“The 2012 AlexNet paper on ImageNet Challenge is literally a very classic model, and that is the convolutional neural network model, and that was published in 19 eighties, the first paper. I remember as a graduate student learning that, and it more or less also…”
Fei-Fei Li Sep 20, 2024 ▶ 8:41 “The Future of AI is Here” — Fei-Fei Li Unveils the Next Frontier of AI
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