sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
This helps machine learning engineers and researchers quickly build and experiment with few-shot image classification models. You provide a small set of labeled images, and the system outputs a model that can recognize new image categories with minimal additional training data. This is ideal for those working on computer vision tasks with limited data for new classes.
1,300 stars. No commits in the last 6 months.
Use this if you need to classify new image categories effectively with only a handful of examples for each new category.
Not ideal if you have abundant labeled data for all your image categories or if your primary goal is not image classification.
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Python
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MIT
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Last pushed
Nov 13, 2024
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