Detects cat breed (from the list of 60 common breeds) with about 75% accuracy based on image.

See https://github.com/ferdifdi/cat_breeds_classifier_extended_breeds for more details.

This is for the web app (BISCUTE: Breed Identification & Specific Care Utility Tool Engine): https://github.com/ferdifdi/BISCUTE

Classification Report

PER-BREED ACCURACY - ALL BREEDS

ORIGINAL BREEDS

Breed Accuracy Correct/Total
Abyssinian 94.33% 2130/2258
American Bobtail 38.80% 876/2258
American Curl 87.29% 1971/2258
American Shorthair 4.38% 99/2258
Applehead Siamese 95.44% 2155/2258
Balinese 92.69% 2093/2258
Bengal 78.17% 1765/2258
Birman 89.95% 2031/2258
Bombay 84.10% 1899/2258
British Shorthair 83.13% 1877/2258
Burmese 88.22% 1992/2258
Calico 62.98% 1422/2258
Cornish Rex 96.86% 2187/2258
Devon Rex 94.77% 2140/2258
Dilute Calico 56.42% 1274/2258
Dilute Tortoiseshell 67.05% 1514/2258
Domestic Long Hair 33.04% 746/2258
Domestic Medium Hair 12.49% 282/2258
Domestic Short Hair 97.65% 2205/2258
Egyptian Mau 89.15% 2013/2258
Exotic Shorthair 78.92% 1782/2258
Extra-Toes Cat - Hemingway Polydactyl 23.52% 531/2258
Havana 95.84% 2164/2258
Himalayan 73.56% 1661/2258
Japanese Bobtail 96.59% 2181/2258
Maine Coon 58.72% 1326/2258
Manx 9.03% 204/2258
Munchkin 91.45% 2065/2258
Nebelung 97.39% 2199/2258
Norwegian Forest 75.29% 1700/2258
Oriental Short Hair 76.13% 1719/2258
Persian 73.43% 1658/2258
Ragamuffin 99.42% 2245/2258
Ragdoll 51.77% 1169/2258
Russian Blue 89.90% 2030/2258
Scottish Fold 89.42% 2019/2258
Siamese 65.01% 1468/2258
Siberian 93.67% 2115/2258
Snowshoe 80.20% 1811/2258
Sphynx 98.45% 2223/2258
Tabby 40.48% 914/2258
Tiger 46.63% 1053/2258
Tonkinese 93.89% 2120/2258
Torbie 61.38% 1386/2258
Tortoiseshell 77.15% 1742/2258
Turkish Angora 77.50% 1750/2258
Turkish Van 84.99% 1919/2258
Tuxedo 79.81% 1802/2258

NEW BREEDS

Breed Accuracy Correct/Total
Chartreux 94.51% 2134/2258
Chausie 83.08% 1876/2258
Khao Manee 85.12% 1922/2258
Kurilian Bobtail 86.05% 1943/2258
LaPerm 64.57% 1458/2258
Neva Masquerade 91.90% 2075/2258
Ocicat 82.95% 1873/2258
Peterbald 76.97% 1738/2258
Savannah 77.41% 1748/2258
Selkirk Rex 88.09% 1989/2258
Serengeti 64.13% 1448/2258
Singapura 78.17% 1765/2258

SUMMARY STATISTICS

ORIGINAL BREEDS (48 breeds)

Metric Value
Average accuracy 73.47%
Min accuracy 4.38%
Max accuracy 99.42%

NEW BREEDS (12 breeds)

Metric Value
Average accuracy 81.08%
Min accuracy 64.13%
Max accuracy 94.51%

OVERALL (All 60 breeds)

Metric Value
Average accuracy 74.99%
Min accuracy 4.38%
Max accuracy 99.42%

BREEDS WITH POOR PERFORMANCE (< 20% accuracy)

Breed Accuracy Type Correct/Total
American Shorthair 4.38% ORIGINAL 99/2258
Domestic Medium Hair 12.49% ORIGINAL 282/2258
Manx 9.03% ORIGINAL 204/2258

Total: 3 breeds (3 original, 0 new)

Downloads last month
-
Safetensors
Model size
85.8M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for ferdifdi/cat-breed-60-classes

Finetuned
(1)
this model