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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 61% 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/MSxJaKJivx2GuDN-uLqS2.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 0.9329 0.8676 0.8990 2258
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- American Bobtail 0.2981 0.0562 0.0946 2258
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- American Curl 0.7791 0.7578 0.7683 2258
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- American Shorthair 0.1552 0.0080 0.0152 2258
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- Applehead Siamese 0.8716 0.9322 0.9009 2258
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- Balinese 0.6364 0.7533 0.6899 2258
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- Bengal 0.6752 0.7108 0.6926 2258
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- Birman 0.6543 0.7719 0.7082 2258
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- Bombay 0.4271 0.8246 0.5627 2258
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- British Shorthair 0.5383 0.5757 0.5564 2258
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- Burmese 0.7192 0.5979 0.6530 2258
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- Calico 0.5272 0.5802 0.5524 2258
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- Cornish Rex 0.9532 0.9832 0.9680 2258
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- Devon Rex 0.9104 0.9628 0.9359 2258
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- Dilute Calico 0.5132 0.5252 0.5192 2258
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- Dilute Tortoiseshell 0.5218 0.6453 0.5770 2258
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- Domestic Long Hair 0.3040 0.2329 0.2638 2258
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- Domestic Medium Hair 0.1877 0.0620 0.0932 2258
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- Domestic Short Hair 0.4829 0.6196 0.5428 2258
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- Egyptian Mau 0.6729 0.7826 0.7236 2258
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- Exotic Shorthair 0.7761 0.6311 0.6961 2258
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- Extra-Toes Cat - Hemingway Polydactyl 0.3151 0.0306 0.0557 2258
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- Havana 0.8790 0.9265 0.9021 2258
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- Himalayan 0.6469 0.5762 0.6095 2258
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- Japanese Bobtail 0.6976 0.6785 0.6879 2258
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- Maine Coon 0.3589 0.4951 0.4162 2258
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- Manx 0.2308 0.0106 0.0203 2258
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- Munchkin 0.4773 0.3866 0.4272 2258
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- Nebelung 0.8569 0.9894 0.9184 2258
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- Norwegian Forest 0.5332 0.6014 0.5652 2258
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- Oriental Short Hair 0.5752 0.2321 0.3307 2258
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- Persian 0.7363 0.7259 0.7310 2258
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- Ragamuffin 0.7818 0.8698 0.8235 2258
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- Ragdoll 0.4537 0.3384 0.3876 2258
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- Russian Blue 0.7129 0.8764 0.7863 2258
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- Scottish Fold 0.8489 0.7666 0.8057 2258
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- Siamese 0.5762 0.4805 0.5240 2258
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- Siberian 0.6675 0.6935 0.6803 2258
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- Snowshoe 0.6843 0.7467 0.7141 2258
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- Sphynx 0.9875 0.9810 0.9842 2258
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- Tabby 0.2518 0.2298 0.2403 2258
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- Tiger 0.2737 0.5465 0.3647 2258
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- Tonkinese 0.7270 0.7936 0.7588 2258
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- Torbie 0.4283 0.5633 0.4866 2258
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- Tortoiseshell 0.5821 0.7901 0.6703 2258
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- Turkish Angora 0.5817 0.6466 0.6124 2258
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- Turkish Van 0.4924 0.7498 0.5945 2258
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- Tuxedo 0.5263 0.8193 0.6409 2258
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- accuracy 0.6130 108384
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- macro avg 0.5921 0.6130 0.5865 108384
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- weighted avg 0.5921 0.6130 0.5865 108384
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  ```
 
4
  - accuracy
5
  - f1
6
  ---
7
+ Detects cat breed (from the list of 48 common breeds) with about 62% 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/EjERQK3lXIDDY2BvrpSYh.png)
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  ```
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  Classification report:
15
 
16
  precision recall f1-score support
17
 
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+ Abyssinian 0.9413 0.8809 0.9101 2258
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+ American Bobtail 0.2544 0.0580 0.0945 2258
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+ American Curl 0.7882 0.7631 0.7754 2258
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+ American Shorthair 0.1587 0.0089 0.0168 2258
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+ Applehead Siamese 0.9007 0.9442 0.9219 2258
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+ Balinese 0.6722 0.7830 0.7234 2258
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+ Bengal 0.6654 0.6993 0.6819 2258
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+ Birman 0.6715 0.7830 0.7230 2258
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+ Bombay 0.4535 0.8291 0.5863 2258
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+ British Shorthair 0.5465 0.6094 0.5762 2258
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+ Burmese 0.7430 0.6324 0.6833 2258
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+ Calico 0.5415 0.5841 0.5620 2258
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+ Cornish Rex 0.9600 0.9894 0.9745 2258
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+ Devon Rex 0.9201 0.9787 0.9485 2258
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+ Dilute Calico 0.5204 0.5487 0.5342 2258
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+ Dilute Tortoiseshell 0.5224 0.6461 0.5777 2258
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+ Domestic Long Hair 0.3183 0.2378 0.2722 2258
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+ Domestic Medium Hair 0.1971 0.0660 0.0989 2258
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+ Domestic Short Hair 0.5084 0.6980 0.5883 2258
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+ Egyptian Mau 0.6664 0.7848 0.7208 2258
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+ Exotic Shorthair 0.7842 0.6227 0.6941 2258
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+ Extra-Toes Cat - Hemingway Polydactyl 0.2454 0.0292 0.0522 2258
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+ Havana 0.9012 0.9212 0.9111 2258
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+ Himalayan 0.6550 0.5903 0.6210 2258
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+ Japanese Bobtail 0.7416 0.7586 0.7500 2258
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+ Maine Coon 0.3715 0.5097 0.4298 2258
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+ Manx 0.3009 0.0151 0.0287 2258
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+ Munchkin 0.5252 0.4668 0.4943 2258
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+ Nebelung 0.8707 0.9929 0.9278 2258
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+ Norwegian Forest 0.5516 0.6315 0.5889 2258
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+ Oriental Short Hair 0.5710 0.2617 0.3589 2258
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+ Persian 0.7423 0.7245 0.7333 2258
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+ Ragamuffin 0.8217 0.8778 0.8488 2258
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+ Ragdoll 0.4646 0.3339 0.3886 2258
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+ Russian Blue 0.7238 0.8729 0.7914 2258
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+ Scottish Fold 0.8372 0.7879 0.8118 2258
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+ Siamese 0.5812 0.4991 0.5371 2258
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+ Siberian 0.7234 0.7666 0.7444 2258
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+ Snowshoe 0.6975 0.7524 0.7239 2258
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+ Sphynx 0.9867 0.9827 0.9847 2258
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+ Tabby 0.2648 0.2538 0.2592 2258
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+ Tiger 0.2796 0.5385 0.3681 2258
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+ Tonkinese 0.7528 0.8539 0.8002 2258
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+ Torbie 0.4515 0.5647 0.5018 2258
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+ Tortoiseshell 0.5933 0.7914 0.6782 2258
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+ Turkish Angora 0.5947 0.6590 0.6252 2258
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+ Turkish Van 0.5120 0.7294 0.6016 2258
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+ Tuxedo 0.5318 0.8175 0.6444 2258
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+ accuracy 0.6277 108384
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+ macro avg 0.6047 0.6277 0.6014 108384
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+ weighted avg 0.6047 0.6277 0.6014 108384
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  ```