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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 74% 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/lr8g75oKk0E_DCXdcYT7k.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 0.9733 0.9367 0.9546 2258
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- American Bobtail 0.3522 0.4026 0.3757 2258
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- American Curl 0.9290 0.9150 0.9219 2258
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- American Shorthair 0.2258 0.0403 0.0684 2258
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- Applehead Siamese 0.9765 0.9925 0.9844 2258
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- Balinese 0.9001 0.9455 0.9222 2258
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- Bengal 0.7537 0.7604 0.7571 2258
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- Birman 0.8471 0.9247 0.8842 2258
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- Bombay 0.6004 0.8583 0.7065 2258
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- British Shorthair 0.7779 0.8065 0.7919 2258
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- Burmese 0.8870 0.9176 0.9020 2258
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- Calico 0.5996 0.6063 0.6030 2258
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- Cornish Rex 0.9920 0.9898 0.9909 2258
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- Devon Rex 0.9745 1.0000 0.9871 2258
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- Dilute Calico 0.5865 0.5602 0.5730 2258
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- Dilute Tortoiseshell 0.5742 0.6856 0.6249 2258
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- Domestic Long Hair 0.3856 0.3189 0.3491 2258
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- Domestic Medium Hair 0.2559 0.1014 0.1453 2258
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- Domestic Short Hair 0.9083 0.9867 0.9459 2258
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- Egyptian Mau 0.8560 0.9083 0.8814 2258
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- Exotic Shorthair 0.8561 0.7799 0.8162 2258
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- Extra-Toes Cat - Hemingway Polydactyl 0.3312 0.1408 0.1976 2258
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- Havana 0.9824 0.9668 0.9746 2258
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- Himalayan 0.7695 0.7024 0.7344 2258
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- Japanese Bobtail 0.9705 0.9761 0.9733 2258
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- Maine Coon 0.4774 0.6368 0.5457 2258
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- Manx 0.3854 0.0864 0.1411 2258
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- Munchkin 0.8993 0.9610 0.9291 2258
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- Nebelung 0.9598 0.9929 0.9761 2258
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- Norwegian Forest 0.7772 0.8096 0.7931 2258
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- Oriental Short Hair 0.8153 0.7232 0.7665 2258
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- Persian 0.8131 0.7746 0.7934 2258
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- Ragamuffin 0.9554 0.9960 0.9753 2258
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- Ragdoll 0.6648 0.5850 0.6224 2258
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- Russian Blue 0.7999 0.9154 0.8538 2258
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- Scottish Fold 0.9708 0.8849 0.9259 2258
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- Siamese 0.7587 0.7241 0.7410 2258
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- Siberian 0.9375 0.9632 0.9502 2258
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- Snowshoe 0.8270 0.8131 0.8200 2258
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- Sphynx 0.9942 0.9911 0.9927 2258
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- Tabby 0.3447 0.3392 0.3420 2258
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- Tiger 0.3786 0.5877 0.4605 2258
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- Tonkinese 0.9517 0.9420 0.9468 2258
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- Torbie 0.5305 0.6426 0.5812 2258
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- Tortoiseshell 0.6498 0.8109 0.7214 2258
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- Turkish Angora 0.7005 0.8038 0.7486 2258
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- Turkish Van 0.7127 0.8964 0.7940 2258
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- Tuxedo 0.6050 0.8446 0.7050 2258
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- accuracy 0.7489 108384
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- macro avg 0.7328 0.7489 0.7332 108384
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- weighted avg 0.7328 0.7489 0.7332 108384
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  ```
 
4
  - accuracy
5
  - f1
6
  ---
7
+ Detects cat breed (from the list of 48 common breeds) with about 75% 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/sJRx_7diiHKhEHTQCv3VK.png)
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  ```
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  Classification report:
15
 
16
  precision recall f1-score support
17
 
18
+ Abyssinian 0.9720 0.9544 0.9631 2258
19
+ American Bobtail 0.3756 0.4371 0.4040 2258
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+ American Curl 0.9213 0.9119 0.9165 2258
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+ American Shorthair 0.2062 0.0381 0.0643 2258
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+ Applehead Siamese 0.9714 0.9925 0.9818 2258
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+ Balinese 0.9045 0.9477 0.9256 2258
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+ Bengal 0.7643 0.7697 0.7670 2258
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+ Birman 0.8670 0.9212 0.8933 2258
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+ Bombay 0.5918 0.8654 0.7029 2258
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+ British Shorthair 0.7606 0.8299 0.7937 2258
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+ Burmese 0.9104 0.9225 0.9164 2258
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+ Calico 0.6037 0.6444 0.6234 2258
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+ Cornish Rex 0.9964 0.9929 0.9947 2258
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+ Devon Rex 0.9800 1.0000 0.9899 2258
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+ Dilute Calico 0.5844 0.5549 0.5693 2258
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+ Dilute Tortoiseshell 0.5674 0.6749 0.6165 2258
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+ Domestic Long Hair 0.3825 0.3136 0.3446 2258
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+ Domestic Medium Hair 0.2462 0.0992 0.1414 2258
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+ Domestic Short Hair 0.9204 0.9827 0.9505 2258
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+ Egyptian Mau 0.8664 0.8986 0.8822 2258
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+ Exotic Shorthair 0.8686 0.7963 0.8309 2258
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+ Extra-Toes Cat - Hemingway Polydactyl 0.3690 0.1696 0.2324 2258
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+ Havana 0.9742 0.9690 0.9716 2258
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+ Himalayan 0.7684 0.7126 0.7394 2258
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+ Japanese Bobtail 0.9704 0.9712 0.9708 2258
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+ Maine Coon 0.4853 0.6435 0.5533 2258
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+ Manx 0.3907 0.0895 0.1456 2258
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+ Munchkin 0.9168 0.9420 0.9292 2258
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+ Nebelung 0.9602 0.9934 0.9765 2258
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+ Norwegian Forest 0.7924 0.8251 0.8084 2258
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+ Oriental Short Hair 0.8167 0.7241 0.7676 2258
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+ Persian 0.8148 0.7932 0.8039 2258
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+ Ragamuffin 0.9573 0.9920 0.9743 2258
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+ Ragdoll 0.6544 0.5912 0.6212 2258
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+ Russian Blue 0.8213 0.9035 0.8604 2258
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+ Scottish Fold 0.9668 0.8893 0.9264 2258
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+ Siamese 0.7495 0.7210 0.7350 2258
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+ Siberian 0.9315 0.9632 0.9471 2258
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+ Snowshoe 0.8053 0.8171 0.8112 2258
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+ Sphynx 0.9960 0.9885 0.9922 2258
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+ Tabby 0.3506 0.3512 0.3509 2258
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+ Tiger 0.3786 0.5895 0.4610 2258
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+ Tonkinese 0.9448 0.9398 0.9423 2258
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+ Torbie 0.5447 0.6346 0.5862 2258
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+ Tortoiseshell 0.6531 0.7879 0.7142 2258
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+ Turkish Angora 0.7253 0.7950 0.7585 2258
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+ Turkish Van 0.7159 0.8950 0.7955 2258
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+ Tuxedo 0.6118 0.8388 0.7075 2258
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+ accuracy 0.7516 108384
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+ macro avg 0.7360 0.7516 0.7366 108384
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+ weighted avg 0.7360 0.7516 0.7366 108384
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  ```