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catsanddogsclassification's Introduction

Dataset

Due to space limitations, it is not possible to make the dataset available here on Github. You can access it at: https://www.kaggle.com/zippyz/cats-and-dogs-breeds-classification-oxford-dataset

Structure: this repository is divided into two parts

1 - breeds_classification, where the files referring to the binary classification for cat/dog are found;
2 - species_classification, where the files referring to the categorical classification of breeds can be found (37 in all).

Important technique used

In both cases, the transfer learning technique was used, which imports the pre-trained InceptionV3 network. This one showed a very good performance in both of the proposed problems, not being necessary to apply fine tuning at species_classification.

Results

breeds_classification: 92.78% accuracy (test set)
species_classification: 99.73% accuracy (test set)

For more details, check the codes. Each step is commented and you can easily reproduce them

catsanddogsclassification's People

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