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# Oxford Pets Models
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Contains the two models for Oxford Pets.
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One is a self-trained image classifier, the other is a self-trained image masker.
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The ensemble combination of these models is a simple single-object semantic segmentation model.
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They had around 67% accuracy, and 58% accuracy respectively.
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Because they were not fine-tuned and trained for such few epochs, these are actually quite solid results.
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Further training will update these results.
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