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check_images.txt
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check_images.txt
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Questions regarding Uploaded Image Classification:
1. Did the three model architectures classify the breed of dog in Dog_01.jpg to be the same breed? If not, report the differences in the classifications.
Answer: Yes, all three model architectures classify the breed of dog in Dog_01.jpg to be the same breed as "Golden Retriever".
2. Did each of the three model architectures classify the breed of dog in Dog_01.jpg to be the same breed of dog as that model architecture classified Dog_02.jpg? If not, report the differences in the classifications.
Answer: VGG architectures correctly identify "Dog_01.jpg" and "Dog_02.jpg" same breed as "Golden Retriever". But, AlexNet architecture identifies "Dog_02.jpg" as "persian cat" while ResNnet identifies as "blenheim spaniel".
3. Did the three model architectures correctly classify Animal_Name_01.jpg and Object_Name_01.jpg to not be dogs? If not, report the misclassifications.
Answer: Yes, all three model architectures correctly classify Animal_Name_01.jpg and Object_Name_01.jpg to not be dogs.
4. Based upon your answers for questions 1. - 3. above, select the model architecture that you feel did the best at classifying the four uploaded images. Describe why you selected that model architecture as the best on uploaded image classification.
Answer: VGG model architecture is the best at classifying the four uploaded images because it can correctly identify both Dog_01.jpg and Dog_02.jpg as the same breed "Golden Retriever".