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Lessons learned from manually classifying CIFAR-10 (2011)
Musings of a Computer Scientist.
Sometimes you can clearly see the animal or object and classify it based very highly-informative distinct parts (for example, you find ears of a cat). My impression from this exercise is that it will be hard to go above 80%, but I suspect improvements might be possible up to range of about 85-90%, depending on how wrong I am about the lack of training data. I have trouble exactly articulating what I learned, but overall I feel like I gained more intuition for image classification tasks and more appreciation for the difficulty of the problem at hand.
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