--- license: apache-2.0 metrics: - accuracy - f1 --- Returns military aircraft type given cropped image. See https://www.kaggle.com/code/dima806/military-aircraft-detection-vit for more details. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/p__hk9CvWxExP__cWFNUh.png) ``` Classification report: precision recall f1-score support A10 0.7765 0.7435 0.7596 612 A400M 0.8369 0.4526 0.5875 612 AG600 0.8298 0.8922 0.8598 612 AV8B 0.4129 0.7124 0.5228 612 B1 0.7041 0.6454 0.6735 612 B2 0.7945 0.9412 0.8616 612 B52 0.9112 0.3856 0.5419 612 Be200 0.6777 0.8039 0.7354 612 C130 0.8227 0.2958 0.4351 612 C17 0.7029 0.1585 0.2587 612 C2 0.6815 0.7484 0.7134 612 C5 0.4720 0.5507 0.5083 612 E2 0.7503 0.9281 0.8298 612 E7 0.4863 0.9575 0.6450 612 EF2000 0.7011 0.0997 0.1745 612 F117 0.6585 0.9641 0.7825 612 F14 0.6559 0.3333 0.4420 612 F15 0.2874 0.0408 0.0715 612 F16 0.3544 0.1650 0.2252 612 F18 0.8438 0.1765 0.2919 612 F22 0.4779 0.4232 0.4489 612 F35 0.4266 0.2042 0.2762 612 F4 0.6048 0.1225 0.2038 612 H6 0.8279 0.7467 0.7852 612 J10 0.5495 0.4265 0.4802 612 J20 0.6587 0.3154 0.4265 612 JAS39 0.3324 0.3775 0.3535 612 JF17 0.2201 0.9150 0.3549 612 KC135 0.4651 0.7631 0.5780 612 MQ9 0.7944 0.8399 0.8165 612 Mig31 0.5040 0.4134 0.4542 612 Mirage2000 0.5545 0.1830 0.2752 612 P3 0.6311 0.8023 0.7065 612 RQ4 0.7479 0.8529 0.7969 612 Rafale 0.3190 0.3399 0.3291 612 SR71 0.7326 0.8105 0.7696 612 Su24 0.6356 0.2451 0.3538 612 Su25 0.7002 0.6487 0.6735 612 Su34 0.6148 0.8137 0.7004 612 Su57 0.4492 0.7729 0.5682 612 Tornado 0.6179 0.2827 0.3879 612 Tu160 0.5830 0.9183 0.7132 612 Tu22M 0.6332 0.6291 0.6311 612 Tu95 0.7695 0.8399 0.8031 612 U2 0.8717 0.5997 0.7106 612 US2 0.6718 0.7827 0.7230 612 V22 0.8030 0.8791 0.8393 612 Vulcan 0.8561 0.7582 0.8042 612 XB70 0.7273 0.9412 0.8205 612 YF23 0.4849 0.9477 0.6416 612 accuracy 0.5918 30600 macro avg 0.6325 0.5918 0.5669 30600 weighted avg 0.6325 0.5918 0.5669 30600 ```