fabian57fabian/prototypical-networks-few-shot-learning
Pytorch implementation of prototypical networks in few shot learning
This project helps researchers and machine learning practitioners build image classification models with very little training data. You provide a small set of labeled images for a few categories, and it outputs a model capable of recognizing new images within those categories. It's designed for those working with visual recognition tasks where extensive datasets are unavailable.
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Use this if you need to classify images into categories but only have a handful of example images per category.
Not ideal if you have large, well-labeled datasets for your image classification task, as traditional methods might be more suitable.
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Language
Python
License
GPL-3.0
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Last pushed
Oct 18, 2023
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