Dog Breed Classifier

I tuned different Pytorch/Tensorflow pre trained models like ResNet50 , Wide ResNet_50.2 , VGG16 and a custom CNN model to classify a dog image among 120 breeds. The training dataset can be collected from here.

Results :

Wide ResNet_50.2 :

Test Accuracy : 82.88978494623656
Test Loss : 0.6641809101546964

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ResNet50 :

Test Accuracy : 80.26881720430107 / 0.9375 (Tensorflow) Test Loss : 0.6438697055783323

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VGG16 :

Test Accuracy : 80.8736559139785
Test Loss : 0.6329619951385964

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custom_CNN :

Test Accuracy : 0.1548913043478262 / 0.6875 (Tensorflow) Test Loss : 4.78740421585414

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