Update README.md
Browse files
README.md
CHANGED
|
@@ -8,63 +8,63 @@ Detects cat breed (from the list of 48 common breeds) with about 57% 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 0.9136 0.8707 0.8916 2258
|
| 19 |
+
American Bobtail 0.2283 0.0221 0.0404 2258
|
| 20 |
+
American Curl 0.7159 0.7143 0.7151 2258
|
| 21 |
+
American Shorthair 0.1720 0.0071 0.0136 2258
|
| 22 |
+
Applehead Siamese 0.7334 0.8676 0.7949 2258
|
| 23 |
+
Balinese 0.5986 0.7139 0.6512 2258
|
| 24 |
+
Bengal 0.6409 0.6931 0.6660 2258
|
| 25 |
+
Birman 0.6066 0.7622 0.6756 2258
|
| 26 |
+
Bombay 0.3810 0.8144 0.5191 2258
|
| 27 |
+
British Shorthair 0.4809 0.5403 0.5089 2258
|
| 28 |
+
Burmese 0.6861 0.5151 0.5884 2258
|
| 29 |
+
Calico 0.5152 0.5686 0.5406 2258
|
| 30 |
+
Cornish Rex 0.9396 0.9712 0.9551 2258
|
| 31 |
+
Devon Rex 0.8990 0.9305 0.9145 2258
|
| 32 |
+
Dilute Calico 0.4960 0.5155 0.5055 2258
|
| 33 |
+
Dilute Tortoiseshell 0.5145 0.6435 0.5718 2258
|
| 34 |
+
Domestic Long Hair 0.2943 0.2183 0.2507 2258
|
| 35 |
+
Domestic Medium Hair 0.1990 0.0527 0.0833 2258
|
| 36 |
+
Domestic Short Hair 0.4137 0.4650 0.4379 2258
|
| 37 |
+
Egyptian Mau 0.5809 0.7715 0.6627 2258
|
| 38 |
+
Exotic Shorthair 0.7543 0.6076 0.6730 2258
|
| 39 |
+
Extra-Toes Cat - Hemingway Polydactyl 0.2205 0.0124 0.0235 2258
|
| 40 |
+
Havana 0.8308 0.9198 0.8731 2258
|
| 41 |
+
Himalayan 0.6324 0.5585 0.5931 2258
|
| 42 |
+
Japanese Bobtail 0.6014 0.4885 0.5391 2258
|
| 43 |
+
Maine Coon 0.3365 0.4517 0.3857 2258
|
| 44 |
+
Manx 0.2308 0.0106 0.0203 2258
|
| 45 |
+
Munchkin 0.3918 0.2276 0.2880 2258
|
| 46 |
+
Nebelung 0.8098 0.9898 0.8908 2258
|
| 47 |
+
Norwegian Forest 0.4990 0.5598 0.5277 2258
|
| 48 |
+
Oriental Short Hair 0.5755 0.1351 0.2188 2258
|
| 49 |
+
Persian 0.7226 0.7338 0.7282 2258
|
| 50 |
+
Ragamuffin 0.7124 0.7963 0.7520 2258
|
| 51 |
+
Ragdoll 0.4333 0.2919 0.3488 2258
|
| 52 |
+
Russian Blue 0.6835 0.8791 0.7691 2258
|
| 53 |
+
Scottish Fold 0.7886 0.7285 0.7574 2258
|
| 54 |
+
Siamese 0.5211 0.4154 0.4623 2258
|
| 55 |
+
Siberian 0.6066 0.5859 0.5961 2258
|
| 56 |
+
Snowshoe 0.6573 0.7493 0.7003 2258
|
| 57 |
+
Sphynx 0.9843 0.9717 0.9779 2258
|
| 58 |
+
Tabby 0.2493 0.2360 0.2425 2258
|
| 59 |
+
Tiger 0.2662 0.5341 0.3553 2258
|
| 60 |
+
Tonkinese 0.6389 0.6683 0.6532 2258
|
| 61 |
+
Torbie 0.4338 0.5589 0.4885 2258
|
| 62 |
+
Tortoiseshell 0.5755 0.7870 0.6648 2258
|
| 63 |
+
Turkish Angora 0.5698 0.6165 0.5922 2258
|
| 64 |
+
Turkish Van 0.4325 0.7365 0.5450 2258
|
| 65 |
+
Tuxedo 0.4838 0.8246 0.6098 2258
|
| 66 |
|
| 67 |
+
accuracy 0.5778 108384
|
| 68 |
+
macro avg 0.5552 0.5778 0.5472 108384
|
| 69 |
+
weighted avg 0.5552 0.5778 0.5472 108384
|
| 70 |
```
|