Datasets
by @stats385
· last added 2026-09-24
· 5 items
[datasets]
Canonical vision benchmarks used throughout the course: MNIST, CIFAR-10, ImageNet.
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ImageNet (overview)
Background on ILSVRC and why ImageNet mattered historically for deep learning.
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ImageNet
Large-scale image database that powered AlexNet and the modern deep learning boom.
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CIFAR-10
60k 32×32 color images, 10 classes. Standard small-scale vision benchmark for theory papers.
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MNIST
60k train / 10k test handwritten digits, 28×28. The ‘hello world’ of classification.