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@@ -8,64 +8,64 @@ Returns military aircraft type given cropped image.
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  See https://www.kaggle.com/code/dima806/military-aircraft-detection-vit for more details.
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/GQTViaJ6q89NX5hsodWqG.png)
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  ```
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  Classification report:
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  precision recall f1-score support
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- A10 0.4898 0.4865 0.4881 148
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- A400M 0.4526 0.4161 0.4336 149
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- AG600 0.5245 0.7230 0.6080 148
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- AV8B 0.3989 0.4797 0.4356 148
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- B1 0.6694 0.5436 0.6000 149
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- B2 0.8875 0.4797 0.6228 148
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- B52 0.7500 0.4257 0.5431 148
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- Be200 0.7917 0.5135 0.6230 148
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- C130 0.3103 0.1216 0.1748 148
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- C17 0.1702 0.0541 0.0821 148
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- C2 0.5648 0.4122 0.4766 148
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- C5 0.3299 0.2148 0.2602 149
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- E2 0.7830 0.5570 0.6510 149
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- E7 0.2982 0.9189 0.4503 148
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- EF2000 0.4615 0.0403 0.0741 149
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- F117 0.7910 0.7162 0.7518 148
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- F14 0.3796 0.3514 0.3649 148
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- F15 0.2319 0.1081 0.1475 148
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- F16 0.3125 0.0336 0.0606 149
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- F18 0.5714 0.1879 0.2828 149
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- F22 0.2624 0.3893 0.3135 149
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- F35 0.5294 0.0604 0.1084 149
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- F4 0.2381 0.0336 0.0588 149
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- H6 0.8977 0.5302 0.6667 149
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- J10 0.3819 0.3716 0.3767 148
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- J20 0.3258 0.2905 0.3071 148
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- JAS39 0.2051 0.2148 0.2098 149
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- JF17 0.1317 0.7432 0.2238 148
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- KC135 0.2349 0.7047 0.3523 149
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- MQ9 0.5779 0.7770 0.6628 148
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- Mig31 0.6286 0.2973 0.4037 148
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- Mirage2000 0.3000 0.1007 0.1508 149
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- P3 0.2939 0.5203 0.3756 148
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- RQ4 0.6731 0.4730 0.5556 148
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- Rafale 0.1579 0.0201 0.0357 149
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- SR71 0.5138 0.3758 0.4341 149
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- Su24 0.4681 0.2953 0.3621 149
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- Su25 0.5938 0.2568 0.3585 148
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- Su34 0.6624 0.6980 0.6797 149
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- Su57 0.7255 0.2500 0.3719 148
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- Tornado 0.4118 0.1409 0.2100 149
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- Tu160 0.6283 0.8054 0.7059 149
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- Tu95 0.5376 0.6284 0.5794 148
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- U2 0.8571 0.0805 0.1472 149
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- US2 0.7838 0.3893 0.5202 149
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- V22 0.7310 0.7162 0.7235 148
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- Vulcan 0.6311 0.5168 0.5683 149
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- XB70 0.5081 0.8389 0.6329 149
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- YF23 0.1974 0.9060 0.3241 149
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- accuracy 0.4123 7277
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- macro avg 0.4950 0.4124 0.3990 7277
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- weighted avg 0.4950 0.4123 0.3988 7277
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  ```
 
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  See https://www.kaggle.com/code/dima806/military-aircraft-detection-vit for more details.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/XiI5mP8nFx7wRXApZYvKX.png)
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  ```
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  Classification report:
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  precision recall f1-score support
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+ A10 0.5870 0.4882 0.5331 297
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+ A400M 0.5467 0.4141 0.4713 297
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+ AG600 0.6034 0.8451 0.7041 297
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+ AV8B 0.4465 0.5623 0.4978 297
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+ B1 0.6705 0.5892 0.6272 297
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+ B2 0.9172 0.5219 0.6652 297
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+ B52 0.7861 0.4579 0.5787 297
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+ Be200 0.8413 0.5354 0.6543 297
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+ C130 0.4414 0.1650 0.2402 297
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+ C17 0.2203 0.0438 0.0730 297
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+ C2 0.6098 0.5421 0.5740 297
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+ C5 0.2917 0.1886 0.2290 297
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+ E2 0.7584 0.6869 0.7208 297
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+ E7 0.3107 0.9394 0.4669 297
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+ EF2000 0.5517 0.0539 0.0982 297
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+ F117 0.7139 0.7980 0.7536 297
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+ F14 0.4302 0.3737 0.4000 297
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+ F15 0.2313 0.1145 0.1532 297
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+ F16 0.4062 0.0438 0.0790 297
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+ F18 0.5877 0.2256 0.3260 297
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+ F22 0.3211 0.4108 0.3604 297
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+ F35 0.3214 0.0303 0.0554 297
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+ F4 0.4103 0.0539 0.0952 297
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+ H6 0.8889 0.5657 0.6914 297
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+ J10 0.3784 0.3771 0.3777 297
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+ J20 0.3142 0.2761 0.2939 297
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+ JAS39 0.2642 0.2357 0.2491 297
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+ JF17 0.1477 0.8687 0.2524 297
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+ KC135 0.2588 0.7441 0.3840 297
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+ MQ9 0.6045 0.8182 0.6953 297
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+ Mig31 0.6786 0.3199 0.4348 297
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+ Mirage2000 0.3587 0.1111 0.1697 297
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+ P3 0.3841 0.5690 0.4586 297
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+ RQ4 0.7540 0.6397 0.6922 297
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+ Rafale 0.3019 0.0539 0.0914 297
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+ SR71 0.6096 0.5152 0.5584 297
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+ Su24 0.5652 0.3064 0.3974 297
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+ Su25 0.5867 0.3872 0.4665 297
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+ Su34 0.6278 0.6700 0.6482 297
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+ Su57 0.8092 0.3569 0.4953 297
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+ Tornado 0.3509 0.1347 0.1946 297
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+ Tu160 0.5872 0.7710 0.6667 297
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+ Tu95 0.6213 0.7071 0.6614 297
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+ U2 0.7843 0.1347 0.2299 297
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+ US2 0.7500 0.4646 0.5738 297
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+ V22 0.6706 0.7744 0.7188 297
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+ Vulcan 0.6699 0.4714 0.5534 297
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+ XB70 0.5817 0.8990 0.7063 297
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+ YF23 0.2285 0.9327 0.3671 297
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+ accuracy 0.4528 14553
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+ macro avg 0.5261 0.4528 0.4364 14553
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+ weighted avg 0.5261 0.4528 0.4364 14553
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  ```