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README.md
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@@ -8,63 +8,63 @@ Detects cat breed (from the list of 48 common breeds) with about 42% accuracy ba
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See https://www.kaggle.com/code/dima806/cat-breed-image-detection-vit for more details.
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-

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```
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Classification report:
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precision recall f1-score support
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Abyssinian 0.6695 0.8194 0.7369 764
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American Bobtail 0.0000 0.0000 0.0000 751
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American Curl 0.6476 0.2674 0.3785 763
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American Shorthair 0.1538 0.0053 0.0102 758
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Applehead Siamese 0.3804 0.6352 0.4758 751
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Balinese 0.4401 0.2748 0.3384 735
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Bengal 0.5338 0.6628 0.5914 774
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Birman 0.3445 0.7126 0.4645 748
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Bombay 0.3130 0.7939 0.4490 757
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British Shorthair 0.5778 0.2788 0.3761 746
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Burmese 0.7900 0.1062 0.1872 744
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Calico 0.4138 0.5040 0.4544 752
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Cornish Rex 0.5770 0.8724 0.6946 760
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Devon Rex 0.6325 0.1400 0.2293 750
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Dilute Calico 0.4874 0.3809 0.4276 764
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Dilute Tortoiseshell 0.4706 0.5569 0.5101 747
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Domestic Long Hair 0.2756 0.0573 0.0948 751
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Domestic Medium Hair 0.2222 0.0083 0.0159 727
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Domestic Short Hair 0.4364 0.0331 0.0616 724
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Egyptian Mau 0.4499 0.6483 0.5312 762
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Exotic Shorthair 0.6463 0.1932 0.2975 766
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Extra-Toes Cat - Hemingway Polydactyl 0.0000 0.0000 0.0000 767
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Havana 0.5574 0.8159 0.6623 744
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Himalayan 0.4895 0.4035 0.4423 751
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Japanese Bobtail 0.3696 0.0232 0.0436 734
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Maine Coon 0.2547 0.4705 0.3305 746
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Manx 0.0909 0.0026 0.0051 761
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Munchkin 0.0000 0.0000 0.0000 740
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Nebelung 0.5827 0.8733 0.6990 734
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Norwegian Forest 0.3382 0.4176 0.3737 728
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Oriental Short Hair 0.0000 0.0000 0.0000 768
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Persian 0.5009 0.7458 0.5993 720
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Ragamuffin 0.4331 0.0903 0.1495 753
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Ragdoll 0.2976 0.1992 0.2387 753
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Russian Blue 0.5080 0.8930 0.6476 748
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Scottish Fold 0.4696 0.6124 0.5316 756
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Siamese 0.4275 0.1456 0.2173 769
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Siberian 0.3360 0.1676 0.2236 740
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Snowshoe 0.5025 0.6553 0.5688 760
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Sphynx 0.8606 0.9621 0.9085 738
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Tabby 0.1689 0.1920 0.1797 729
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Tiger 0.1826 0.5673 0.2763 728
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Tonkinese 0.3975 0.5689 0.4680 733
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Torbie 0.3925 0.4453 0.4172 750
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Tortoiseshell 0.4965 0.8102 0.6157 785
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Turkish Angora 0.4333 0.5483 0.4840 746
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Turkish Van 0.2704 0.6876 0.3882 765
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Tuxedo 0.3259 0.8684 0.4740 760
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accuracy 0.4196 36000
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macro avg 0.3989 0.4191 0.3598 36000
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weighted avg 0.3990 0.4196 0.3602 36000
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```
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