Update README.md
Browse files
README.md
CHANGED
|
@@ -8,63 +8,63 @@ Detects cat breed (from the list of 48 common breeds) with about 68% accuracy ba
|
|
| 8 |
|
| 9 |
See https://www.kaggle.com/code/dima806/cat-breed-image-detection-vit for more details.
|
| 10 |
|
| 11 |
-

|
| 12 |
|
| 13 |
```
|
| 14 |
Classification report:
|
| 15 |
|
| 16 |
precision recall f1-score support
|
| 17 |
|
| 18 |
+
Abyssinian 0.9444 0.8959 0.9195 2258
|
| 19 |
+
American Bobtail 0.2765 0.1581 0.2012 2258
|
| 20 |
+
American Curl 0.8585 0.8299 0.8440 2258
|
| 21 |
+
American Shorthair 0.2008 0.0213 0.0384 2258
|
| 22 |
+
Applehead Siamese 0.9578 0.9761 0.9669 2258
|
| 23 |
+
Balinese 0.7910 0.8831 0.8345 2258
|
| 24 |
+
Bengal 0.7112 0.7121 0.7117 2258
|
| 25 |
+
Birman 0.7468 0.8348 0.7884 2258
|
| 26 |
+
Bombay 0.5128 0.8543 0.6409 2258
|
| 27 |
+
British Shorthair 0.6592 0.6869 0.6727 2258
|
| 28 |
+
Burmese 0.8285 0.7936 0.8107 2258
|
| 29 |
+
Calico 0.5579 0.5717 0.5647 2258
|
| 30 |
+
Cornish Rex 0.9777 0.9920 0.9848 2258
|
| 31 |
+
Devon Rex 0.9590 0.9934 0.9759 2258
|
| 32 |
+
Dilute Calico 0.5532 0.5407 0.5469 2258
|
| 33 |
+
Dilute Tortoiseshell 0.5482 0.6701 0.6030 2258
|
| 34 |
+
Domestic Long Hair 0.3337 0.2772 0.3029 2258
|
| 35 |
+
Domestic Medium Hair 0.2167 0.0828 0.1198 2258
|
| 36 |
+
Domestic Short Hair 0.7573 0.9619 0.8474 2258
|
| 37 |
+
Egyptian Mau 0.7725 0.8512 0.8099 2258
|
| 38 |
+
Exotic Shorthair 0.8345 0.6767 0.7474 2258
|
| 39 |
+
Extra-Toes Cat - Hemingway Polydactyl 0.2865 0.0695 0.1119 2258
|
| 40 |
+
Havana 0.9648 0.9464 0.9555 2258
|
| 41 |
+
Himalayan 0.7077 0.6519 0.6787 2258
|
| 42 |
+
Japanese Bobtail 0.8561 0.9455 0.8986 2258
|
| 43 |
+
Maine Coon 0.4128 0.5691 0.4785 2258
|
| 44 |
+
Manx 0.2890 0.0337 0.0603 2258
|
| 45 |
+
Munchkin 0.6786 0.7976 0.7333 2258
|
| 46 |
+
Nebelung 0.9338 0.9867 0.9595 2258
|
| 47 |
+
Norwegian Forest 0.6793 0.7214 0.6997 2258
|
| 48 |
+
Oriental Short Hair 0.6550 0.4539 0.5362 2258
|
| 49 |
+
Persian 0.7621 0.7405 0.7511 2258
|
| 50 |
+
Ragamuffin 0.9272 0.9708 0.9485 2258
|
| 51 |
+
Ragdoll 0.5688 0.4579 0.5074 2258
|
| 52 |
+
Russian Blue 0.7540 0.8999 0.8205 2258
|
| 53 |
+
Scottish Fold 0.9029 0.8406 0.8706 2258
|
| 54 |
+
Siamese 0.6452 0.6089 0.6266 2258
|
| 55 |
+
Siberian 0.8251 0.9110 0.8659 2258
|
| 56 |
+
Snowshoe 0.7569 0.7542 0.7555 2258
|
| 57 |
+
Sphynx 0.9942 0.9827 0.9884 2258
|
| 58 |
+
Tabby 0.2908 0.3060 0.2982 2258
|
| 59 |
+
Tiger 0.3239 0.5438 0.4060 2258
|
| 60 |
+
Tonkinese 0.8747 0.8906 0.8826 2258
|
| 61 |
+
Torbie 0.4959 0.5895 0.5386 2258
|
| 62 |
+
Tortoiseshell 0.6208 0.8056 0.7012 2258
|
| 63 |
+
Turkish Angora 0.6323 0.7121 0.6699 2258
|
| 64 |
+
Turkish Van 0.6074 0.7852 0.6850 2258
|
| 65 |
+
Tuxedo 0.5703 0.8260 0.6747 2258
|
| 66 |
|
| 67 |
+
accuracy 0.6889 108384
|
| 68 |
+
macro avg 0.6670 0.6889 0.6674 108384
|
| 69 |
+
weighted avg 0.6670 0.6889 0.6674 108384
|
| 70 |
```
|