ImageNet
image dataset organized according to the WordNet hierarchy
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6 expert discussions. Save them all to your own pod, ask any question, get cited answers.
Common Themes
Videos Mentioning ImageNet
François Chollet: Keras, Deep Learning, and the Progress of AI | Lex Fridman Podcast #38
Lex Fridman
A large visual database designed for use in visual object recognition software research, mentioned as an example of a benchmark that launched significant efforts.
MIT 6.S094: Recurrent Neural Networks for Steering Through Time
Lex Fridman
A large-scale image dataset used for training computer vision models, mentioned as an example for vanilla neural networks mapping images to object labels.
MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
Lex Fridman
A large visual database designed for use in visual object recognition software research; highlighted as a competition that deep learning has nearly mastered.
Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
Lex Fridman
A large-scale visual recognition challenge dataset that has been instrumental in driving progress in computer vision, particularly with the adoption of deep learning models.
Going In Deep On Data | YC Paper Club
Y Combinator
A large dataset used for training visual recognition software. The speaker uses it as an example of data that was once considered sufficient but is now understood to be just a starting point.
🔬 Google's AI Scientist Started as an Attempt to Automate Kaggle — John Platt, Google Fellow
Latent Space
A large visual database designed for use in visual object recognition software research, a key benchmark where GPUs showed their superiority over CPUs.