adambielski/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
This project helps you compare images by learning a compact representation that captures their similarity. You provide a collection of images, often with labels, and it produces a numerical "embedding" for each image. These embeddings can then be used to find similar images, group them, or act as features for other classification tasks. It's designed for machine learning practitioners, researchers, or data scientists working with image similarity tasks.
3,171 stars. No commits in the last 6 months.
Use this if you need to transform images into a standardized numerical format where the distance between numbers directly reflects how similar the original images are.
Not ideal if you are looking for a pre-trained, off-the-shelf solution for a very specific image similarity problem without needing to customize or train a model.
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Python
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BSD-3-Clause
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Last pushed
Apr 29, 2023
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