--- license: apache-2.0 metrics: - accuracy - f1 base_model: - google/vit-base-patch16-224-in21k --- Returns car brand with about 69% accuracy given an image. See https://www.kaggle.com/code/dima806/car-brands-image-detection-vit for details. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/qmucWzyBg-nMsJINqCpc2.png) ``` Classification report: precision recall f1-score support Acura 0.3799 0.5658 0.4546 2066 Alfa Romeo 0.7487 0.9424 0.8344 2067 Aston Martin 0.9377 0.8162 0.8727 2067 Audi 0.3810 0.6623 0.4837 2067 BMW 0.4379 0.1824 0.2575 2067 Bentley 0.7206 0.8360 0.7740 2067 Bugatti 0.9862 1.0000 0.9930 2067 Buick 0.5081 0.4981 0.5031 2066 Cadillac 0.7252 0.4315 0.5411 2067 Chevrolet 0.3715 0.1553 0.2190 2067 Chrysler 0.6298 0.7551 0.6868 2066 Citroen 0.9597 0.9903 0.9748 2067 Daewoo 0.9745 1.0000 0.9871 2067 Dodge 0.5020 0.6618 0.5710 2067 Ferrari 0.9238 0.9908 0.9561 2067 Fiat 0.8116 0.8670 0.8384 2067 Ford 0.4484 0.0798 0.1355 2067 GMC 0.5630 0.7842 0.6555 2067 Genesis 0.6549 0.8916 0.7552 2067 Honda 0.3684 0.3880 0.3779 2067 Hudson 0.9584 0.8132 0.8798 2066 Hyundai 0.3593 0.3527 0.3560 2067 Infiniti 0.4569 0.6546 0.5382 2067 Jaguar 0.4496 0.2975 0.3581 2067 Jeep 0.8256 0.8563 0.8407 2067 Kia 0.3308 0.1035 0.1577 2067 Lamborghini 0.9252 0.9811 0.9523 2067 Land Rover 0.5205 0.8365 0.6417 2067 Lexus 0.4655 0.2221 0.3007 2067 Lincoln 0.5455 0.5244 0.5348 2067 MG 0.7773 0.9879 0.8700 2067 Maserati 0.7179 0.8162 0.7639 2067 Mazda 0.4517 0.4664 0.4589 2067 McLaren 0.9782 1.0000 0.9890 2066 Mercedes-Benz 0.3383 0.0329 0.0600 2067 Mini 0.8048 0.9337 0.8645 2067 Mitsubishi 0.4671 0.7928 0.5878 2066 Nissan 0.5305 0.0672 0.1194 2067 Oldsmobile 0.8832 0.9918 0.9344 2067 Peugeot 0.9070 1.0000 0.9512 2067 Pontiac 0.9641 0.9884 0.9761 2067 Porsche 0.5380 0.6376 0.5836 2067 Ram 0.8475 0.9652 0.9025 2067 Ram Trucks 0.9626 0.9831 0.9727 2067 Renault 0.9686 1.0000 0.9840 2066 Rolls-Royce 0.8737 0.9671 0.9180 2067 Saab 0.9311 1.0000 0.9643 2067 Smart 0.9247 0.9627 0.9433 2066 Studebaker 0.9645 1.0000 0.9819 2067 Subaru 0.4404 0.3112 0.3647 2066 Suzuki 0.9425 1.0000 0.9704 2067 Tesla 0.7482 0.9390 0.8328 2066 Toyota 0.2884 0.0755 0.1196 2067 Volkswagen 0.4282 0.4964 0.4598 2067 Volvo 0.4807 0.5300 0.5041 2066 accuracy 0.6925 113674 macro avg 0.6733 0.6925 0.6638 113674 weighted avg 0.6733 0.6925 0.6638 113674 ```