ImageNet

4 statements across 2 episodes · 3 bullish · 0 bearish · 2 people on the record · first statement May 17, 2017 by Wojciech Zaremba · said 28 times in 8 episodes since 2017 · across every show →

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brought up most by Diana Hu (9), Dr. Fei-Fei Li (6), Wojciech Zaremba (4), Garry Tan (2), François Chollet (2), Craig Cannon (2), Francois Chaubard (1)

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Everything said about ImageNet, oldest first

May 17, 2017 positive
Assertion Supported
Zaremba: ImageNet error dropped to 3%, achieving superhuman vision performance
“Within several years, people got down, I believe, to three percent error, and that's essentially superhuman performance.”
Wojciech Zaremba May 17, 2017 ▶ 37:40 An AI Primer with Wojciech Zaremba · Y Combinator
May 17, 2017 positive
Assertion Supported
Zaremba: AlexNet achieved a 15% ImageNet error rate versus competitors' 25%
“A team from University of Toronto, led by Geoffrey Hinton, and that's, like, the team was Alex Krzyzewski and Ilya Suskaver. They actually got To something like 15%. So let's say all other teams, they were like at 25%, the difference was one percent. Yeah. And…”
Wojciech Zaremba May 17, 2017 ▶ 35:54 An AI Primer with Wojciech Zaremba · Y Combinator
May 17, 2017 positive
Opinion
Zaremba: ImageNet is the essential dataset that enabled deep learning
“That's the essential data set that made deep learning happen.”
Wojciech Zaremba May 17, 2017 ▶ 34:36 An AI Primer with Wojciech Zaremba · Y Combinator
Apr 16, 2026 neutral
Opinion
Vuong: ImageNet was more impactful than OpenX because it solved evaluation
“I still think that ImageNet was more impactful in the vision community, and the reason for that is a few. The first is that ImageNet also allowed for reproducible evaluation, right? You know, OpenX as an effort was more about making data available for kind of …”
Quan Vuong Apr 16, 2026 ▶ 8:30 The GPT Moment for Robotics Is Here · Y Combinator
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