akshaysharma096/Siamese-Networks
Few Shot Learning by Siamese Networks, using Keras.
This project helps developers build image verification systems, especially when they have very few examples of the images they need to identify. It takes pairs of images and determines if they are the same or different. This is useful for machine learning engineers and data scientists working on computer vision tasks with limited datasets.
194 stars. No commits in the last 6 months.
Use this if you need to classify or verify images with very limited training data for each category, such as recognizing rare objects or specific individuals with only a few samples.
Not ideal if you have abundant training data for all your image categories; traditional deep learning classification models might be more straightforward.
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Jupyter Notebook
License
MIT
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Last pushed
May 14, 2020
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