--- license: apache-2.0 metrics: - accuracy - f1 base_model: - google/vit-base-patch16-224-in21k --- Returns military aircraft type given cropped image with about 76% accuracy. See https://www.kaggle.com/code/dima806/military-aircraft-detection-vit for more details. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/7R4pEo8wma6kz_fwN1eyK.png) ``` Classification report: precision recall f1-score support A10 0.8156 0.8889 0.8507 612 A400M 0.8641 0.7794 0.8196 612 AG600 0.9452 0.9592 0.9521 612 AV8B 0.4991 0.9003 0.6422 612 B1 0.8358 0.8154 0.8255 612 B2 0.8924 0.9624 0.9261 612 B52 0.9354 0.7337 0.8223 612 Be200 0.8491 0.8922 0.8701 612 C130 0.9104 0.4984 0.6441 612 C17 0.8045 0.5310 0.6398 612 C2 0.7765 0.8971 0.8324 612 C5 0.6826 0.7239 0.7026 612 E2 0.8866 0.9706 0.9267 612 E7 0.8045 0.9951 0.8897 612 EF2000 0.7348 0.2173 0.3354 612 F117 0.8298 0.9722 0.8954 612 F14 0.6531 0.7075 0.6792 612 F15 0.6058 0.2059 0.3073 612 F16 0.5390 0.2598 0.3506 612 F18 0.5905 0.5866 0.5885 612 F22 0.6273 0.7369 0.6777 612 F35 0.5764 0.6536 0.6126 612 F4 0.6749 0.3562 0.4663 612 H6 0.9245 0.9199 0.9222 612 J10 0.5846 0.6209 0.6022 612 J20 0.8477 0.5458 0.6640 612 JAS39 0.5615 0.4771 0.5159 612 JF17 0.4866 0.9477 0.6430 612 KC135 0.7706 0.9167 0.8373 612 MQ9 0.8618 0.9167 0.8884 612 Mig31 0.7900 0.6699 0.7250 612 Mirage2000 0.8333 0.3758 0.5180 612 P3 0.7997 0.9265 0.8584 612 RQ4 0.8433 0.9412 0.8896 612 Rafale 0.4622 0.5801 0.5145 612 SR71 0.9030 0.9281 0.9154 612 Su24 0.7059 0.6275 0.6644 612 Su25 0.8569 0.8023 0.8287 612 Su34 0.8042 0.8856 0.8429 612 Su57 0.7061 0.8873 0.7864 612 Tornado 0.6004 0.5523 0.5753 612 Tu160 0.8468 0.9575 0.8988 612 Tu22M 0.7758 0.9444 0.8519 612 Tu95 0.9271 0.8938 0.9101 612 U2 0.9094 0.7712 0.8347 612 US2 0.7837 0.9118 0.8429 612 V22 0.8788 0.9363 0.9066 612 Vulcan 0.8971 0.8693 0.8830 612 XB70 0.8857 1.0000 0.9394 612 YF23 0.8673 0.9935 0.9261 612 accuracy 0.7608 30600 macro avg 0.7690 0.7608 0.7488 30600 weighted avg 0.7690 0.7608 0.7488 30600 ```