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dogs_70_breeds_image_detection
dima806/dogs_70_breeds_image_detection
dogs_70_breeds_image_detection is a image classification model from dima806. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Sep 9, 2023
- Updated
- Oct 21, 2024
- SHA
- 5a36212f
Base models
Model card
From the Hugging Face model README
Predicts dogs breed based on an image.
Achieved about 92% accuracy on unseen (test) data.
See my Kaggle notebook and my Medium article for more details.
Classification report:
precision recall f1-score support
Afghan 0.9753 0.9080 0.9405 87
African Wild Dog 1.0000 1.0000 1.0000 88
Airedale 1.0000 0.9885 0.9942 87
American Hairless 0.9841 0.7126 0.8267 87
American Spaniel 0.9054 0.7701 0.8323 87
Basenji 0.9659 0.9770 0.9714 87
Basset 0.9551 0.9770 0.9659 87
Beagle 0.9659 0.9659 0.9659 88
Bearded Collie 0.8614 1.0000 0.9255 87
Bermaise 0.9457 1.0000 0.9721 87
Bichon Frise 0.9551 0.9770 0.9659 87
Blenheim 0.9062 1.0000 0.9508 87
Bloodhound 0.9659 0.9770 0.9714 87
Bluetick 1.0000 0.9540 0.9765 87
Border Collie 0.8830 0.9540 0.9171 87
Borzoi 1.0000 0.9432 0.9708 88
Boston Terrier 0.5513 0.9773 0.7049 88
Boxer 1.0000 0.9655 0.9825 87
Bull Mastiff 0.9655 0.9655 0.9655 87
Bull Terrier 1.0000 0.9885 0.9942 87
Bulldog 0.9583 0.2614 0.4107 88
Cairn 0.8737 0.9540 0.9121 87
Chihuahua 0.9610 0.8409 0.8970 88
Chinese Crested 0.9750 0.8966 0.9341 87
Chow 1.0000 1.0000 1.0000 88
Clumber 0.9884 0.9770 0.9827 87
Cockapoo 0.7238 0.8736 0.7917 87
Cocker 0.9868 0.8621 0.9202 87
Collie 0.9630 0.8966 0.9286 87
Corgi 0.9881 0.9540 0.9708 87
Coyote 0.9560 1.0000 0.9775 87
Dalmation 0.9560 1.0000 0.9775 87
Dhole 0.9765 0.9540 0.9651 87
Dingo 0.8966 0.8966 0.8966 87
Doberman 0.9333 0.9655 0.9492 87
Elk Hound 0.9775 1.0000 0.9886 87
French Bulldog 0.8810 0.8506 0.8655 87
German Sheperd 0.6803 0.9432 0.7905 88
Golden Retriever 0.9767 0.9655 0.9711 87
Great Dane 0.8929 0.8621 0.8772 87
Great Perenees 0.9667 1.0000 0.9831 87
Greyhound 0.9750 0.8966 0.9341 87
Groenendael 0.9062 1.0000 0.9508 87
Irish Spaniel 0.8173 0.9770 0.8901 87
Irish Wolfhound 0.9239 0.9770 0.9497 87
Japanese Spaniel 0.9101 0.9310 0.9205 87
Komondor 0.9885 0.9885 0.9885 87
Labradoodle 0.8750 0.6437 0.7417 87
Labrador 1.0000 0.9091 0.9524 88
Lhasa 0.9231 0.5517 0.6906 87
Malinois 0.9756 0.4598 0.6250 87
Maltese 0.8958 0.9773 0.9348 88
Mex Hairless 0.7870 0.9770 0.8718 87
Newfoundland 0.9438 0.9655 0.9545 87
Pekinese 0.9333 0.9545 0.9438 88
Pit Bull 0.8969 1.0000 0.9457 87
Pomeranian 0.9121 0.9540 0.9326 87
Poodle 0.9759 0.9205 0.9474 88
Pug 0.9529 0.9310 0.9419 87
Rhodesian 0.9130 0.9655 0.9385 87
Rottweiler 0.9556 0.9885 0.9718 87
Saint Bernard 0.9773 0.9885 0.9829 87
Schnauzer 0.8684 0.7586 0.8098 87
Scotch Terrier 0.9506 0.8851 0.9167 87
Shar_Pei 0.9886 1.0000 0.9943 87
Shiba Inu 0.9286 0.8966 0.9123 87
Shih-Tzu 0.6957 0.9195 0.7921 87
Siberian Husky 0.9667 1.0000 0.9831 87
Vizsla 0.9355 0.9886 0.9613 88
Yorkie 0.9457 0.9886 0.9667 88
accuracy 0.9192 6104
macro avg 0.9288 0.9193 0.9161 6104
weighted avg 0.9288 0.9192 0.9161 6104
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Sep 9, 2023
- Updated
- Oct 21, 2024