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Traditional datasets are in the order of \(10^2-10^4\) training samples. | Traditional datasets are in the order of \(10^2-10^4\) training samples. | ||
Current datasets are in the order of \(10^5-10^7\) training samples. | Current datasets are in the order of \(10^5-10^7\) training samples. | ||
In tiny images <ref name="torralba2008tinyimages"></ref>, Torrabla ''et al.'' use 80 million tiny images. | |||
==Data-driven Methods in Vision== | ==Data-driven Methods in Vision== | ||
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==References== | ==References== | ||
{{reflist|refs= | |||
<ref name="torralba2008tinyimages">Antonio Torralba, Rob Fergus and William T. Freeman (2008). 80 million tiny images: a large dataset for | |||
non-parametric object and scene recognition (PAMI 2008) [https://people.csail.mit.edu/torralba/publications/80millionImages.pdf https://people.csail.mit.edu/torralba/publications/80millionImages.pdf]</ref> | |||
}} |