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Animal Embbedings Search using kNN

Pipeline

Images -> Pretrained Model -> Embbedings (1000 features) -> Fit into kNN Classifier (1 image learnt -> 1 point with 1000 co-ordinates in the kNN model)

Enviornment and Dependencies

Python 3.10.6

Inference

To run, replace the file path of the images inside knn.py

python knn.py

Here are some example with different values of distances representing how close the test images is, compared to the findings in the dataset: Infer1 Infer1

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Animal embeddings search with kNN

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