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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 67% 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/6449300e3adf50d864095b90/4sWXkU2C6cdTTDu8xfXrl.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 0.9533 0.8946 0.9230 2258
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- American Bobtail 0.2498 0.1289 0.1700 2258
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- American Curl 0.8518 0.8220 0.8366 2258
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- American Shorthair 0.1792 0.0168 0.0308 2258
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- Applehead Siamese 0.9398 0.9810 0.9599 2258
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- Balinese 0.7608 0.8902 0.8204 2258
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- Bengal 0.7036 0.7369 0.7199 2258
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- Birman 0.7335 0.8375 0.7821 2258
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- Bombay 0.5007 0.8481 0.6296 2258
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- British Shorthair 0.6313 0.6581 0.6444 2258
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- Burmese 0.8000 0.7883 0.7941 2258
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- Calico 0.5623 0.5833 0.5726 2258
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- Cornish Rex 0.9718 0.9916 0.9816 2258
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- Devon Rex 0.9441 0.9942 0.9685 2258
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- Dilute Calico 0.5542 0.5345 0.5442 2258
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- Dilute Tortoiseshell 0.5508 0.6656 0.6028 2258
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- Domestic Long Hair 0.3480 0.2768 0.3083 2258
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- Domestic Medium Hair 0.2048 0.0762 0.1110 2258
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- Domestic Short Hair 0.6921 0.9535 0.8020 2258
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- Egyptian Mau 0.7718 0.8313 0.8004 2258
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- Exotic Shorthair 0.8110 0.6767 0.7378 2258
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- Extra-Toes Cat - Hemingway Polydactyl 0.2500 0.0531 0.0877 2258
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- Havana 0.9498 0.9562 0.9530 2258
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- Himalayan 0.6843 0.6134 0.6469 2258
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- Japanese Bobtail 0.8428 0.9190 0.8792 2258
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- Maine Coon 0.4029 0.5611 0.4690 2258
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- Manx 0.2941 0.0244 0.0450 2258
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- Munchkin 0.6340 0.7365 0.6814 2258
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- Nebelung 0.9198 0.9898 0.9535 2258
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- Norwegian Forest 0.6402 0.6966 0.6672 2258
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- Oriental Short Hair 0.6400 0.4141 0.5028 2258
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- Persian 0.7607 0.7307 0.7454 2258
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- Ragamuffin 0.9060 0.9641 0.9341 2258
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- Ragdoll 0.5404 0.4083 0.4652 2258
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- Russian Blue 0.7552 0.8924 0.8181 2258
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- Scottish Fold 0.8865 0.8091 0.8460 2258
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- Siamese 0.6266 0.5580 0.5903 2258
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- Siberian 0.8122 0.8809 0.8451 2258
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- Snowshoe 0.7542 0.7489 0.7516 2258
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- Sphynx 0.9928 0.9810 0.9869 2258
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- Tabby 0.2895 0.2989 0.2941 2258
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- Tiger 0.3182 0.5399 0.4004 2258
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- Tonkinese 0.8586 0.8791 0.8687 2258
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- Torbie 0.5009 0.5895 0.5416 2258
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- Tortoiseshell 0.6205 0.8038 0.7004 2258
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- Turkish Angora 0.6149 0.7015 0.6554 2258
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- Turkish Van 0.5868 0.7737 0.6674 2258
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- Tuxedo 0.5636 0.8180 0.6674 2258
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- accuracy 0.6777 108384
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- macro avg 0.6533 0.6777 0.6542 108384
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- weighted avg 0.6533 0.6777 0.6542 108384
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  ```
 
4
  - accuracy
5
  - f1
6
  ---
7
+ Detects cat breed (from the list of 48 common breeds) with about 68% accuracy based on image.
8
 
9
  See https://www.kaggle.com/code/dima806/cat-breed-image-detection-vit for more details.
10
 
11
+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/NMofezAtzEJw4CPPfiNNE.png)
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  ```
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  Classification report:
15
 
16
  precision recall f1-score support
17
 
18
+ Abyssinian 0.9462 0.8875 0.9159 2258
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+ American Bobtail 0.2453 0.1430 0.1807 2258
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+ American Curl 0.8450 0.8308 0.8379 2258
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+ American Shorthair 0.2190 0.0235 0.0424 2258
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+ Applehead Siamese 0.9538 0.9792 0.9663 2258
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+ Balinese 0.7808 0.8849 0.8296 2258
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+ Bengal 0.7034 0.7374 0.7200 2258
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+ Birman 0.7492 0.8415 0.7927 2258
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+ Bombay 0.4971 0.8392 0.6244 2258
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+ British Shorthair 0.6619 0.6771 0.6694 2258
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+ Burmese 0.8079 0.7936 0.8007 2258
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+ Calico 0.5634 0.5926 0.5776 2258
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+ Cornish Rex 0.9786 0.9907 0.9846 2258
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+ Devon Rex 0.9520 0.9916 0.9714 2258
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+ Dilute Calico 0.5555 0.5279 0.5413 2258
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+ Dilute Tortoiseshell 0.5545 0.6687 0.6063 2258
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+ Domestic Long Hair 0.3431 0.2799 0.3083 2258
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+ Domestic Medium Hair 0.2346 0.0859 0.1258 2258
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+ Domestic Short Hair 0.7346 0.9513 0.8290 2258
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+ Egyptian Mau 0.7751 0.8392 0.8059 2258
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+ Exotic Shorthair 0.8163 0.6554 0.7271 2258
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+ Extra-Toes Cat - Hemingway Polydactyl 0.2649 0.0651 0.1045 2258
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+ Havana 0.9546 0.9407 0.9476 2258
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+ Himalayan 0.6971 0.6289 0.6612 2258
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+ Japanese Bobtail 0.8496 0.9384 0.8918 2258
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+ Maine Coon 0.4009 0.5616 0.4678 2258
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+ Manx 0.2723 0.0244 0.0447 2258
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+ Munchkin 0.6648 0.7772 0.7166 2258
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+ Nebelung 0.9204 0.9880 0.9530 2258
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+ Norwegian Forest 0.6695 0.7050 0.6868 2258
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+ Oriental Short Hair 0.6515 0.4562 0.5366 2258
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+ Persian 0.7767 0.7533 0.7648 2258
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+ Ragamuffin 0.9203 0.9659 0.9425 2258
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+ Ragdoll 0.5501 0.4495 0.4948 2258
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+ Russian Blue 0.7546 0.8986 0.8203 2258
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+ Scottish Fold 0.8746 0.8251 0.8491 2258
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+ Siamese 0.6382 0.5717 0.6031 2258
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+ Siberian 0.8422 0.9004 0.8703 2258
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+ Snowshoe 0.7517 0.7803 0.7658 2258
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+ Sphynx 0.9938 0.9858 0.9898 2258
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+ Tabby 0.2906 0.2994 0.2949 2258
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+ Tiger 0.3229 0.5372 0.4034 2258
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+ Tonkinese 0.8813 0.9079 0.8944 2258
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+ Torbie 0.4962 0.5850 0.5370 2258
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+ Tortoiseshell 0.6212 0.8069 0.7020 2258
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+ Turkish Angora 0.6338 0.6935 0.6623 2258
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+ Turkish Van 0.6016 0.7852 0.6813 2258
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+ Tuxedo 0.5632 0.8153 0.6662 2258
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+ accuracy 0.6847 108384
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+ macro avg 0.6620 0.6847 0.6627 108384
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+ weighted avg 0.6620 0.6847 0.6627 108384
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  ```