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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 76% 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/MFE-Vw8FtEJlc3kgL7glk.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 0.9748 0.9579 0.9663 2258
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- American Bobtail 0.3656 0.4615 0.4080 2258
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- American Curl 0.9321 0.9300 0.9311 2258
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- American Shorthair 0.2208 0.0461 0.0762 2258
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- Applehead Siamese 0.9770 0.9951 0.9860 2258
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- Balinese 0.9068 0.9610 0.9331 2258
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- Bengal 0.7590 0.7812 0.7700 2258
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- Birman 0.8821 0.9274 0.9041 2258
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- Bombay 0.6324 0.8618 0.7295 2258
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- British Shorthair 0.7907 0.8516 0.8200 2258
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- Burmese 0.9132 0.9508 0.9317 2258
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- Calico 0.6004 0.6315 0.6156 2258
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- Cornish Rex 0.9969 0.9920 0.9945 2258
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- Devon Rex 0.9830 1.0000 0.9914 2258
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- Dilute Calico 0.5982 0.5585 0.5776 2258
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- Dilute Tortoiseshell 0.5785 0.6887 0.6288 2258
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- Domestic Long Hair 0.3998 0.3401 0.3676 2258
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- Domestic Medium Hair 0.2692 0.1151 0.1613 2258
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- Domestic Short Hair 0.9424 0.9779 0.9598 2258
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- Egyptian Mau 0.8788 0.9119 0.8950 2258
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- Exotic Shorthair 0.8577 0.8118 0.8341 2258
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- Extra-Toes Cat - Hemingway Polydactyl 0.3623 0.1829 0.2431 2258
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- Havana 0.9823 0.9810 0.9816 2258
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- Himalayan 0.7988 0.7174 0.7559 2258
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- Japanese Bobtail 0.9773 0.9934 0.9853 2258
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- Maine Coon 0.5168 0.6599 0.5797 2258
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- Manx 0.3863 0.1098 0.1710 2258
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- Munchkin 0.9344 0.9584 0.9462 2258
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- Nebelung 0.9652 0.9942 0.9795 2258
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- Norwegian Forest 0.8101 0.8446 0.8270 2258
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- Oriental Short Hair 0.8686 0.7963 0.8309 2258
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- Persian 0.8289 0.7936 0.8109 2258
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- Ragamuffin 0.9683 0.9863 0.9772 2258
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- Ragdoll 0.6699 0.6156 0.6416 2258
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- Russian Blue 0.8248 0.9150 0.8675 2258
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- Scottish Fold 0.9788 0.8999 0.9377 2258
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- Siamese 0.7601 0.7480 0.7540 2258
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- Siberian 0.9503 0.9650 0.9576 2258
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- Snowshoe 0.8297 0.8202 0.8249 2258
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- Sphynx 0.9973 0.9898 0.9936 2258
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- Tabby 0.3599 0.3423 0.3509 2258
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- Tiger 0.4010 0.6125 0.4847 2258
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- Tonkinese 0.9664 0.9553 0.9608 2258
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- Torbie 0.5378 0.6209 0.5764 2258
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- Tortoiseshell 0.6622 0.8091 0.7283 2258
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- Turkish Angora 0.7385 0.8282 0.7808 2258
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- Turkish Van 0.7586 0.9101 0.8275 2258
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- Tuxedo 0.6276 0.8516 0.7227 2258
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- accuracy 0.7636 108384
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- macro avg 0.7484 0.7636 0.7496 108384
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- weighted avg 0.7484 0.7636 0.7496 108384
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  ```
 
4
  - accuracy
5
  - f1
6
  ---
7
+ Detects cat breed (from the list of 48 common breeds) with about 77% 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/6449300e3adf50d864095b90/2Ri-lK9CkxFJPD07wTiyx.png)
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  ```
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  Classification report:
15
 
16
  precision recall f1-score support
17
 
18
+ Abyssinian 0.9771 0.9628 0.9699 2258
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+ American Bobtail 0.3837 0.4956 0.4325 2258
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+ American Curl 0.9434 0.9376 0.9405 2258
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+ American Shorthair 0.2603 0.0558 0.0919 2258
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+ Applehead Siamese 0.9825 0.9920 0.9872 2258
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+ Balinese 0.9191 0.9606 0.9394 2258
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+ Bengal 0.7666 0.7724 0.7695 2258
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+ Birman 0.8913 0.9371 0.9136 2258
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+ Bombay 0.6471 0.8893 0.7491 2258
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+ British Shorthair 0.7879 0.8720 0.8278 2258
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+ Burmese 0.9124 0.9544 0.9329 2258
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+ Calico 0.6144 0.6492 0.6314 2258
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+ Cornish Rex 0.9960 0.9849 0.9904 2258
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+ Devon Rex 0.9856 1.0000 0.9927 2258
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+ Dilute Calico 0.6094 0.5540 0.5804 2258
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+ Dilute Tortoiseshell 0.5747 0.7037 0.6327 2258
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+ Domestic Long Hair 0.4103 0.3392 0.3714 2258
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+ Domestic Medium Hair 0.2805 0.1120 0.1601 2258
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+ Domestic Short Hair 0.9490 0.9810 0.9647 2258
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+ Egyptian Mau 0.8900 0.9243 0.9068 2258
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+ Exotic Shorthair 0.8720 0.8233 0.8469 2258
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+ Extra-Toes Cat - Hemingway Polydactyl 0.3899 0.2055 0.2691 2258
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+ Havana 0.9811 0.9889 0.9850 2258
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+ Himalayan 0.8022 0.7201 0.7589 2258
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+ Japanese Bobtail 0.9799 0.9725 0.9762 2258
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+ Maine Coon 0.5321 0.6833 0.5983 2258
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+ Manx 0.3942 0.1147 0.1777 2258
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+ Munchkin 0.9325 0.9544 0.9433 2258
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+ Nebelung 0.9639 0.9938 0.9786 2258
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+ Norwegian Forest 0.8280 0.8463 0.8371 2258
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+ Oriental Short Hair 0.8772 0.8096 0.8420 2258
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+ Persian 0.8302 0.8012 0.8154 2258
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+ Ragamuffin 0.9641 0.9872 0.9755 2258
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+ Ragdoll 0.6866 0.6501 0.6679 2258
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+ Russian Blue 0.8215 0.9256 0.8705 2258
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+ Scottish Fold 0.9728 0.9181 0.9446 2258
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+ Siamese 0.7649 0.7551 0.7600 2258
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+ Siberian 0.9636 0.9619 0.9628 2258
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+ Snowshoe 0.8389 0.8140 0.8263 2258
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+ Sphynx 0.9942 0.9903 0.9922 2258
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+ Tabby 0.3533 0.3441 0.3487 2258
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+ Tiger 0.4071 0.6076 0.4876 2258
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+ Tonkinese 0.9613 0.9464 0.9538 2258
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+ Torbie 0.5544 0.6568 0.6013 2258
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+ Tortoiseshell 0.6667 0.8122 0.7323 2258
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+ Turkish Angora 0.7328 0.8308 0.7787 2258
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+ Turkish Van 0.7658 0.9225 0.8369 2258
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+ Tuxedo 0.6491 0.8357 0.7307 2258
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+ accuracy 0.7698 108384
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+ macro avg 0.7554 0.7698 0.7559 108384
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+ weighted avg 0.7554 0.7698 0.7559 108384
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  ```