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cat_breed_image_detection

Image Classification
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Safetensors
vit
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@@ -4,67 +4,67 @@ metrics:
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  - accuracy
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  - f1
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  ---
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- Detects cat breed (from the list of 48 common breeds) with about 71% accuracy based on image.
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  See https://www.kaggle.com/code/dima806/cat-breed-image-detection-vit for more details.
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/FEQeGXz8g5Jj8qPyK9bJ6.png)
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  ```
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  Classification report:
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  precision recall f1-score support
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- Abyssinian 0.9667 0.9269 0.9464 2258
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- American Bobtail 0.3135 0.2586 0.2834 2258
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- American Curl 0.8737 0.8791 0.8764 2258
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- American Shorthair 0.1698 0.0239 0.0419 2258
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- Applehead Siamese 0.9717 0.9872 0.9793 2258
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- Balinese 0.8564 0.9247 0.8893 2258
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- Bengal 0.7268 0.7365 0.7316 2258
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- Birman 0.8037 0.8685 0.8348 2258
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- Bombay 0.5441 0.8583 0.6660 2258
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- British Shorthair 0.6986 0.7484 0.7227 2258
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- Burmese 0.8657 0.8849 0.8752 2258
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- Calico 0.5872 0.6054 0.5962 2258
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- Cornish Rex 0.9929 0.9903 0.9916 2258
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- Devon Rex 0.9705 0.9907 0.9805 2258
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- Dilute Calico 0.5680 0.5624 0.5652 2258
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- Dilute Tortoiseshell 0.5693 0.6767 0.6184 2258
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- Domestic Long Hair 0.3584 0.3087 0.3317 2258
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- Domestic Medium Hair 0.2537 0.0996 0.1431 2258
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- Domestic Short Hair 0.8419 0.9787 0.9052 2258
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- Egyptian Mau 0.8255 0.8818 0.8527 2258
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- Exotic Shorthair 0.8624 0.7325 0.7921 2258
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- Extra-Toes Cat - Hemingway Polydactyl 0.3190 0.1019 0.1544 2258
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- Havana 0.9701 0.9619 0.9660 2258
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- Himalayan 0.7178 0.6794 0.6981 2258
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- Japanese Bobtail 0.9392 0.9646 0.9517 2258
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- Maine Coon 0.4328 0.5930 0.5004 2258
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- Manx 0.2976 0.0443 0.0771 2258
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- Munchkin 0.8019 0.8751 0.8369 2258
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- Nebelung 0.9518 0.9872 0.9691 2258
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- Norwegian Forest 0.7332 0.7644 0.7485 2258
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- Oriental Short Hair 0.7138 0.5833 0.6420 2258
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- Persian 0.8031 0.7569 0.7793 2258
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- Ragamuffin 0.9339 0.9632 0.9483 2258
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- Ragdoll 0.5884 0.5128 0.5480 2258
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- Russian Blue 0.7806 0.9061 0.8387 2258
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- Scottish Fold 0.9280 0.8623 0.8939 2258
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- Siamese 0.7075 0.6439 0.6742 2258
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- Siberian 0.8922 0.9278 0.9097 2258
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- Snowshoe 0.7782 0.7892 0.7836 2258
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- Sphynx 0.9964 0.9907 0.9936 2258
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- Tabby 0.3131 0.3215 0.3172 2258
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- Tiger 0.3487 0.5700 0.4327 2258
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- Tonkinese 0.9074 0.9331 0.9201 2258
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- Torbie 0.5061 0.6045 0.5510 2258
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- Tortoiseshell 0.6348 0.8029 0.7090 2258
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- Turkish Angora 0.6823 0.7560 0.7172 2258
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- Turkish Van 0.6607 0.8450 0.7415 2258
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- Tuxedo 0.5943 0.8468 0.6984 2258
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- accuracy 0.7190 108384
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- macro avg 0.6990 0.7190 0.7005 108384
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- weighted avg 0.6990 0.7190 0.7005 108384
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  ```
 
4
  - accuracy
5
  - f1
6
  ---
7
+ Detects cat breed (from the list of 48 common breeds) with about 72% accuracy based on image.
8
 
9
  See https://www.kaggle.com/code/dima806/cat-breed-image-detection-vit for more details.
10
 
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/1bsfIrpKkADECUOjdcLPy.png)
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  ```
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  Classification report:
15
 
16
  precision recall f1-score support
17
 
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+ Abyssinian 0.9673 0.9305 0.9485 2258
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+ American Bobtail 0.3117 0.2932 0.3021 2258
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+ American Curl 0.8846 0.8928 0.8887 2258
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+ American Shorthair 0.1994 0.0297 0.0517 2258
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+ Applehead Siamese 0.9700 0.9876 0.9787 2258
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+ Balinese 0.8731 0.9234 0.8975 2258
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+ Bengal 0.7244 0.7498 0.7369 2258
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+ Birman 0.8180 0.8760 0.8460 2258
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+ Bombay 0.5495 0.8508 0.6677 2258
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+ British Shorthair 0.6991 0.7520 0.7246 2258
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+ Burmese 0.8542 0.8822 0.8680 2258
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+ Calico 0.5786 0.6116 0.5946 2258
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+ Cornish Rex 0.9955 0.9898 0.9927 2258
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+ Devon Rex 0.9727 0.9938 0.9831 2258
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+ Dilute Calico 0.5781 0.5540 0.5658 2258
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+ Dilute Tortoiseshell 0.5750 0.6754 0.6212 2258
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+ Domestic Long Hair 0.3805 0.3060 0.3392 2258
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+ Domestic Medium Hair 0.2508 0.0983 0.1413 2258
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+ Domestic Short Hair 0.8699 0.9801 0.9217 2258
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+ Egyptian Mau 0.8252 0.8844 0.8538 2258
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+ Exotic Shorthair 0.8446 0.7462 0.7924 2258
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+ Extra-Toes Cat - Hemingway Polydactyl 0.3566 0.1311 0.1917 2258
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+ Havana 0.9643 0.9694 0.9669 2258
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+ Himalayan 0.7352 0.6825 0.7079 2258
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+ Japanese Bobtail 0.9358 0.9690 0.9521 2258
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+ Maine Coon 0.4502 0.5943 0.5123 2258
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+ Manx 0.2775 0.0447 0.0770 2258
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+ Munchkin 0.8215 0.8928 0.8557 2258
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+ Nebelung 0.9518 0.9965 0.9736 2258
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+ Norwegian Forest 0.7287 0.7790 0.7530 2258
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+ Oriental Short Hair 0.7218 0.5988 0.6546 2258
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+ Persian 0.7971 0.7706 0.7836 2258
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+ Ragamuffin 0.9417 0.9730 0.9571 2258
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+ Ragdoll 0.5960 0.5279 0.5599 2258
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+ Russian Blue 0.7750 0.9043 0.8347 2258
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+ Scottish Fold 0.9533 0.8676 0.9084 2258
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+ Siamese 0.7187 0.6687 0.6928 2258
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+ Siberian 0.9017 0.9464 0.9235 2258
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+ Snowshoe 0.7734 0.7874 0.7803 2258
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+ Sphynx 0.9969 0.9863 0.9915 2258
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+ Tabby 0.3181 0.3060 0.3120 2258
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+ Tiger 0.3638 0.5709 0.4444 2258
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+ Tonkinese 0.9255 0.9291 0.9273 2258
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+ Torbie 0.5063 0.6231 0.5587 2258
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+ Tortoiseshell 0.6405 0.7803 0.7035 2258
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+ Turkish Angora 0.6801 0.7524 0.7145 2258
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+ Turkish Van 0.6508 0.8534 0.7385 2258
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+ Tuxedo 0.5899 0.8344 0.6911 2258
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+ accuracy 0.7239 108384
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+ macro avg 0.7040 0.7239 0.7059 108384
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+ weighted avg 0.7040 0.7239 0.7059 108384
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  ```