ImageNet

Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning | Lex Fridman Podcast #258

Lex Fridman

A large visual database designed for use in visual object recognition software research, used for supervised learning tasks.

An AI Primer with Wojciech Zaremba

Y Combinator

A large dataset of 1 million images across 1,000 classes, crucial for the advancement of deep learning in computer vision.

Jim Keller: The Future of Computing, AI, Life, and Consciousness | Lex Fridman Podcast #162

Lex Fridman

A large visual database designed for use in visual object recognition software research, mentioned in context of neural network training efficiency.

AI Won't Be AGI, Until It Can At Least Do This (plus 6 key ways LLMs are being upgraded)

AI Explained

Richard Craib: WallStreetBets, Numerai, and the Future of Stock Trading | Lex Fridman Podcast #159

Lex Fridman

A large visual database designed for use in visual object recognition software research, cited as an example of how aggregating data and building community can create a 'hardest and most important data science problem'.

Rodney Brooks: Robotics | Lex Fridman Podcast #217

Lex Fridman

A large visual database designed for use in image recognition software research.

Peter Norvig: Artificial Intelligence: A Modern Approach | Lex Fridman Podcast #42

Lex Fridman

A large dataset of images used for visual object recognition research, mentioned in the context of object recognition performance and adversarial examples.

Ilya Sutskever: Deep Learning | Lex Fridman Podcast #94

Lex Fridman

A large visual database designed for use in visual object recognition software research, serving as a key benchmark for deep learning success.

Eric Schmidt — The Promises and Perils of AI, the Future of Warfare, Profound Revolutions, and More

Tim Ferriss

A contest in 2011 that marked a breakthrough in computer vision, demonstrating computers could see better than humans.

Dmitri Dolgov: Waymo and the Future of Self-Driving Cars | Lex Fridman Podcast #147

Lex Fridman

A database for image recognition research, mentioned by Dmitri Dolgov in the context of early machine learning before deep neural networks becoming prevalent for tasks like object detection.

Risto Miikkulainen: Neuroevolution and Evolutionary Computation | Lex Fridman Podcast #177

Lex Fridman

A large visual database that has been used for a long time in computer vision research.

Making Music and Art Through Machine Learning - Doug Eck of Magenta

Y Combinator

A large visual database used for visual object recognition research, mentioned as an example of a task where deep neural networks perform well with large datasets.

David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning | Lex Fridman Podcast #86

Lex Fridman

A large visual database designed for use in visual object recognition software research.

Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36

Lex Fridman

A benchmark dataset for image recognition, mentioned as a standard for evaluating AI performance and a historical benchmark.

MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)

Lex Fridman

A large dataset of images labeled by humans, used for training computer vision algorithms, particularly for object recognition.

Grant Sanderson: Math, Manim, Neural Networks & Teaching with 3Blue1Brown | Lex Fridman Podcast #118

Lex Fridman

A dataset used to train convolutional neural networks, referenced in the discussion of Chris Olah's visualizations.

Oriol Vinyals: Deep Learning and Artificial General Intelligence | Lex Fridman Podcast #306

Lex Fridman

A large visual database designed for use in visual object recognition software research, discussed as a benchmark that may be limiting real-world AI progress.

Drago Anguelov (Waymo) - MIT Self-Driving Cars

Lex Fridman

A large-scale visual database used for training deep neural network models, where Google and DeepMind have achieved state-of-the-art results.

Tomaso Poggio: Brains, Minds, and Machines | Lex Fridman Podcast #13

Lex Fridman

A dataset of over a million labeled images used for training deep learning models, highlighting the need for large amounts of labeled data.

Deep Learning Basics: Introduction and Overview

Lex Fridman

A large-scale dataset of images used for training and benchmarking computer vision models, credited with illustrating deep learning's potential.

Dr. Fei-Fei Li, The Godmother of AI — Asking Audacious Questions & Finding Your North Star

Tim Ferriss

A large-scale visual database that was a pivotal inflection point for big data in AI, enabling breakthroughs in computer vision.

SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)

Latent Space

Information Theory for Language Models: Jack Morris

Latent Space

A large-scale image dataset used for training AlexNet, facilitating a paradigm shift in deep neural networks.

MIT AGI: Artificial General Intelligence

Lex Fridman

A large dataset of labeled images used for training computer vision models. It's mentioned in the context of state-of-the-art performance in image classification tasks.