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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, they all clasified the breed of dog in Dog_01.jpg to be the same breed called alaskan malamute.
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: No, they all gave different classifications of the breed of dog.
alexnet model classified the breed of dog in Dog_02.jpg to be eskimo dog, while resnet and vgg model architectures classified the breed of dog in Dog_02.jpg siberian husky.
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, the three model architectures correctly classified Black_bear_01.jpg and bucket_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: Alexnet model architecture did the best at classifying the four uploaded images because it took the least time compared to vgg and resnet.
** Total Elapsed Runtime: 0:0:1