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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 68% 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/OIHq52YF5D5O_BzTpfpVY.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 0.9444 0.8959 0.9195 2258
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- American Bobtail 0.2765 0.1581 0.2012 2258
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- American Curl 0.8585 0.8299 0.8440 2258
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- American Shorthair 0.2008 0.0213 0.0384 2258
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- Applehead Siamese 0.9578 0.9761 0.9669 2258
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- Balinese 0.7910 0.8831 0.8345 2258
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- Bengal 0.7112 0.7121 0.7117 2258
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- Birman 0.7468 0.8348 0.7884 2258
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- Bombay 0.5128 0.8543 0.6409 2258
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- British Shorthair 0.6592 0.6869 0.6727 2258
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- Burmese 0.8285 0.7936 0.8107 2258
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- Calico 0.5579 0.5717 0.5647 2258
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- Cornish Rex 0.9777 0.9920 0.9848 2258
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- Devon Rex 0.9590 0.9934 0.9759 2258
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- Dilute Calico 0.5532 0.5407 0.5469 2258
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- Dilute Tortoiseshell 0.5482 0.6701 0.6030 2258
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- Domestic Long Hair 0.3337 0.2772 0.3029 2258
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- Domestic Medium Hair 0.2167 0.0828 0.1198 2258
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- Domestic Short Hair 0.7573 0.9619 0.8474 2258
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- Egyptian Mau 0.7725 0.8512 0.8099 2258
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- Exotic Shorthair 0.8345 0.6767 0.7474 2258
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- Extra-Toes Cat - Hemingway Polydactyl 0.2865 0.0695 0.1119 2258
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- Havana 0.9648 0.9464 0.9555 2258
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- Himalayan 0.7077 0.6519 0.6787 2258
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- Japanese Bobtail 0.8561 0.9455 0.8986 2258
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- Maine Coon 0.4128 0.5691 0.4785 2258
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- Manx 0.2890 0.0337 0.0603 2258
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- Munchkin 0.6786 0.7976 0.7333 2258
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- Nebelung 0.9338 0.9867 0.9595 2258
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- Norwegian Forest 0.6793 0.7214 0.6997 2258
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- Oriental Short Hair 0.6550 0.4539 0.5362 2258
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- Persian 0.7621 0.7405 0.7511 2258
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- Ragamuffin 0.9272 0.9708 0.9485 2258
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- Ragdoll 0.5688 0.4579 0.5074 2258
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- Russian Blue 0.7540 0.8999 0.8205 2258
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- Scottish Fold 0.9029 0.8406 0.8706 2258
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- Siamese 0.6452 0.6089 0.6266 2258
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- Siberian 0.8251 0.9110 0.8659 2258
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- Snowshoe 0.7569 0.7542 0.7555 2258
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- Sphynx 0.9942 0.9827 0.9884 2258
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- Tabby 0.2908 0.3060 0.2982 2258
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- Tiger 0.3239 0.5438 0.4060 2258
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- Tonkinese 0.8747 0.8906 0.8826 2258
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- Torbie 0.4959 0.5895 0.5386 2258
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- Tortoiseshell 0.6208 0.8056 0.7012 2258
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- Turkish Angora 0.6323 0.7121 0.6699 2258
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- Turkish Van 0.6074 0.7852 0.6850 2258
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- Tuxedo 0.5703 0.8260 0.6747 2258
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- accuracy 0.6889 108384
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- macro avg 0.6670 0.6889 0.6674 108384
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- weighted avg 0.6670 0.6889 0.6674 108384
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  ```
 
4
  - accuracy
5
  - f1
6
  ---
7
+ Detects cat breed (from the list of 48 common breeds) with about 70% 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/ZbeLo6MhrUT6kha7fL73P.png)
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  ```
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  Classification report:
15
 
16
  precision recall f1-score support
17
 
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+ Abyssinian 0.9691 0.9039 0.9354 2258
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+ American Bobtail 0.2961 0.1940 0.2344 2258
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+ American Curl 0.8650 0.8485 0.8567 2258
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+ American Shorthair 0.2030 0.0244 0.0435 2258
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+ Applehead Siamese 0.9683 0.9867 0.9774 2258
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+ Balinese 0.8031 0.8942 0.8462 2258
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+ Bengal 0.7085 0.7427 0.7252 2258
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+ Birman 0.7628 0.8561 0.8068 2258
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+ Bombay 0.5053 0.8592 0.6364 2258
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+ British Shorthair 0.6634 0.6931 0.6779 2258
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+ Burmese 0.8347 0.8273 0.8310 2258
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+ Calico 0.5736 0.5952 0.5842 2258
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+ Cornish Rex 0.9851 0.9925 0.9887 2258
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+ Devon Rex 0.9668 0.9925 0.9795 2258
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+ Dilute Calico 0.5681 0.5580 0.5630 2258
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+ Dilute Tortoiseshell 0.5614 0.6798 0.6150 2258
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+ Domestic Long Hair 0.3526 0.3029 0.3259 2258
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+ Domestic Medium Hair 0.2225 0.0903 0.1285 2258
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+ Domestic Short Hair 0.7859 0.9690 0.8679 2258
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+ Egyptian Mau 0.8096 0.8570 0.8326 2258
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+ Exotic Shorthair 0.8297 0.6838 0.7497 2258
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+ Extra-Toes Cat - Hemingway Polydactyl 0.3105 0.0864 0.1351 2258
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+ Havana 0.9670 0.9597 0.9633 2258
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+ Himalayan 0.7133 0.6457 0.6778 2258
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+ Japanese Bobtail 0.8707 0.9420 0.9049 2258
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+ Maine Coon 0.4207 0.5850 0.4894 2258
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+ Manx 0.3450 0.0394 0.0707 2258
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+ Munchkin 0.7230 0.8171 0.7672 2258
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+ Nebelung 0.9410 0.9889 0.9644 2258
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+ Norwegian Forest 0.7185 0.6975 0.7079 2258
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+ Oriental Short Hair 0.6909 0.5089 0.5861 2258
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+ Persian 0.7677 0.7595 0.7636 2258
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+ Ragamuffin 0.9238 0.9774 0.9499 2258
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+ Ragdoll 0.5908 0.4712 0.5243 2258
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+ Russian Blue 0.7587 0.9039 0.8250 2258
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+ Scottish Fold 0.9108 0.8361 0.8719 2258
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+ Siamese 0.6623 0.6072 0.6335 2258
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+ Siberian 0.8566 0.9181 0.8863 2258
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+ Snowshoe 0.7697 0.7728 0.7713 2258
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+ Sphynx 0.9955 0.9876 0.9916 2258
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+ Tabby 0.3015 0.3158 0.3085 2258
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+ Tiger 0.3379 0.5598 0.4214 2258
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+ Tonkinese 0.8897 0.9145 0.9019 2258
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+ Torbie 0.5011 0.6014 0.5467 2258
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+ Tortoiseshell 0.6374 0.7972 0.7084 2258
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+ Turkish Angora 0.6689 0.7166 0.6919 2258
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+ Turkish Van 0.6129 0.8268 0.7040 2258
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+ Tuxedo 0.5709 0.8184 0.6726 2258
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+ accuracy 0.7001 108384
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+ macro avg 0.6811 0.7001 0.6801 108384
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+ weighted avg 0.6811 0.7001 0.6801 108384
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  ```