An Example of few shot learning for image classification (not detection)?

I was trying to get my hands on few shots learning but for image classification, however all the samples i get are of image detection

i was wondering how mainstream is few shot learning for image classification like that of MNIST

Can someone point me towards the sample code of the same ?

All the help is appreciated

I think you could find something similar in Omniglot:

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