Visual Learning and Recognition: Difference between revisions

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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>
}}