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alexnet_uploaded-images.txt
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alexnet_uploaded-images.txt
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Pet Image Label Dictionary has 4 key-value pairs.
Below are 4 of them:
1 key: Frog_01.jpg label: frog
2 key: Coffee_mug_01.jpg label: coffee mug
3 key: Dog_02.jpg label: dog
4 key: Dog_01.jpg label: dog
{'Frog_01.jpg': ['frog', 'alligator lizard', 0], 'Coffee_mug_01.jpg': ['coffee mug', 'cup', 0], 'Dog_02.jpg': ['dog', 'siamese cat, siamese, cat', 0], 'Dog_01.jpg': ['dog', 'basset, basset hound', 0]}
MATCH:
NOT A MATCH:
Frog_01.jpg:
Real: frog Classifier: alligator lizard
Coffee_mug_01.jpg:
Real: coffee mug Classifier: cup
Dog_02.jpg:
Real: dog Classifier: siamese cat, siamese, cat
Dog_01.jpg:
Real: dog Classifier: basset, basset hound
# Total Images 4 # Matches: 0 # NOT Matches: 4
MATCH:
NOT A MATCH:
Frog_01.jpg:
Real: frog Classifier: alligator lizard
PetLabelDog: 0 ClassLabelDog: 0
Coffee_mug_01.jpg:
Real: coffee mug Classifier: cup
PetLabelDog: 0 ClassLabelDog: 0
Dog_02.jpg:
Real: dog Classifier: siamese cat, siamese, cat
PetLabelDog: 1 ClassLabelDog: 0
Dog_01.jpg:
Real: dog Classifier: basset, basset hound
PetLabelDog: 1 ClassLabelDog: 1
# Total Images 4 # Matches: 0 # NOT Matches: 4
** Statistics from calculates_results_stats() function:
N Images: 4 N Dog Images: 2 N NotDog Images: 2
Pct Corr dog: 50.0 Pct Corr NOTdog: 100.0 Pct Corr Breed: 0.0
** Check Statistics - calculated from this function as a check:
N Images: 4 N Dog Images: 2 N NotDog Images: 2
Pct Corr dog: 50.0 Pct Corr NOTdog: 100.0 Pct Corr Breed: 0.0
*** Results Summary for CNN Model Architecture ALEXNET ***
N Images : 4
N Dog Images : 2
N Not-Dog Images : 2
pct_match: 0.0
pct_correct_dogs: 50.0
pct_correct_breed: 0.0
pct_correct_notdogs: 100.0
INCORRECT Dog/NOT Dog Assignments:
Real: dog Classifier: siamese cat, siamese, cat
INCORRECT Dog Breed Assignment:
Real: dog Classifier: basset, basset hound
** Total Elapsed Runtime: 0:0:1