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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/6449300e3adf50d864095b90/88RNPtpZBqz-IpHCV-FlE.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 0.6982 0.5101 0.5895 594
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- A400M 0.6814 0.4933 0.5723 594
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- AG600 0.6671 0.8670 0.7540 594
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- AV8B 0.4723 0.6886 0.5603 594
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- B1 0.6534 0.6633 0.6583 594
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- B2 0.9174 0.7104 0.8008 594
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- B52 0.8163 0.4714 0.5977 594
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- Be200 0.8524 0.6027 0.7061 594
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- C130 0.6735 0.3300 0.4429 594
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- C17 0.3579 0.0572 0.0987 594
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- C2 0.6724 0.5909 0.6290 594
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- C5 0.4319 0.3418 0.3816 594
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- E2 0.7723 0.8165 0.7938 594
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- E7 0.3632 0.9680 0.5282 594
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- EF2000 0.5067 0.0640 0.1136 594
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- F117 0.7224 0.8805 0.7936 594
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- F14 0.4891 0.4158 0.4495 594
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- F15 0.2377 0.0892 0.1297 594
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- F16 0.7258 0.0758 0.1372 594
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- F18 0.7054 0.2660 0.3863 594
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- F22 0.4061 0.4916 0.4448 594
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- F35 0.4789 0.0572 0.1023 594
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- F4 0.4286 0.0455 0.0822 594
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- H6 0.8910 0.5505 0.6805 594
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- J10 0.4328 0.4714 0.4512 594
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- J20 0.4273 0.3165 0.3636 594
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- JAS39 0.3413 0.2879 0.3123 594
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- JF17 0.1735 0.9007 0.2909 594
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- KC135 0.3053 0.8300 0.4464 594
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- MQ9 0.5909 0.8754 0.7056 594
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- Mig31 0.7687 0.5202 0.6205 594
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- Mirage2000 0.4910 0.1835 0.2672 594
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- P3 0.5201 0.6313 0.5703 594
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- RQ4 0.6729 0.6684 0.6706 594
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- Rafale 0.3237 0.0943 0.1460 594
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- SR71 0.6709 0.6212 0.6451 594
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- Su24 0.6241 0.4276 0.5075 594
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- Su25 0.7243 0.5572 0.6299 594
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- Su34 0.6250 0.7828 0.6951 594
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- Su57 0.7506 0.5219 0.6157 594
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- Tornado 0.6350 0.2138 0.3199 594
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- Tu160 0.6444 0.8603 0.7368 594
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- Tu95 0.7047 0.8316 0.7629 594
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- U2 0.8750 0.2475 0.3858 594
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- US2 0.7879 0.5690 0.6608 594
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- V22 0.7306 0.8401 0.7815 594
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- Vulcan 0.7081 0.5471 0.6173 594
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- XB70 0.5800 0.9394 0.7172 594
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- YF23 0.2997 0.9663 0.4576 594
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- accuracy 0.5256 29106
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- macro avg 0.5924 0.5256 0.5063 29106
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- weighted avg 0.5924 0.5256 0.5063 29106
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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/Ty-PeUV4Jbk9b4JaF3ylH.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 0.6771 0.5084 0.5808 594
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+ A400M 0.7171 0.4949 0.5857 594
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+ AG600 0.6603 0.8771 0.7534 594
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+ AV8B 0.4826 0.7003 0.5714 594
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+ B1 0.6188 0.6751 0.6457 594
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+ B2 0.8909 0.7290 0.8019 594
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+ B52 0.8242 0.4815 0.6079 594
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+ Be200 0.8587 0.6549 0.7431 594
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+ C130 0.5779 0.2559 0.3547 594
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+ C17 0.3069 0.0522 0.0892 594
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+ C2 0.6959 0.6010 0.6450 594
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+ C5 0.4286 0.3586 0.3905 594
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+ E2 0.7364 0.7997 0.7667 594
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+ E7 0.3792 0.9697 0.5452 594
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+ EF2000 0.5647 0.0808 0.1414 594
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+ F117 0.7270 0.8788 0.7957 594
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+ F14 0.4863 0.4175 0.4493 594
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+ F15 0.2549 0.1094 0.1531 594
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+ F16 0.6316 0.0606 0.1106 594
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+ F18 0.6814 0.2340 0.3484 594
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+ F22 0.4175 0.4983 0.4543 594
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+ F35 0.4583 0.0556 0.0991 594
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+ F4 0.3333 0.0320 0.0584 594
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+ H6 0.8917 0.5404 0.6730 594
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+ J10 0.4303 0.4680 0.4484 594
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+ J20 0.4177 0.3249 0.3655 594
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+ JAS39 0.3890 0.3333 0.3590 594
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+ JF17 0.1786 0.8973 0.2978 594
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+ KC135 0.3160 0.8468 0.4602 594
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+ MQ9 0.5986 0.8636 0.7071 594
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+ Mig31 0.7419 0.4983 0.5962 594
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+ Mirage2000 0.4545 0.1515 0.2273 594
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+ P3 0.5206 0.6599 0.5820 594
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+ RQ4 0.6744 0.6869 0.6806 594
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+ Rafale 0.3575 0.1246 0.1848 594
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+ SR71 0.7029 0.6094 0.6528 594
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+ Su24 0.6675 0.4461 0.5348 594
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+ Su25 0.7106 0.5993 0.6502 594
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+ Su34 0.6322 0.7811 0.6988 594
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+ Su57 0.7557 0.5572 0.6415 594
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+ Tornado 0.6406 0.2340 0.3428 594
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+ Tu160 0.6590 0.8721 0.7507 594
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+ Tu95 0.6867 0.8266 0.7502 594
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+ U2 0.8830 0.2542 0.3948 594
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+ US2 0.8257 0.6061 0.6990 594
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+ V22 0.7275 0.8451 0.7819 594
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+ Vulcan 0.7223 0.5606 0.6313 594
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+ XB70 0.5743 0.9495 0.7157 594
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+ YF23 0.3134 0.9731 0.4742 594
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+ accuracy 0.5313 29106
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+ macro avg 0.5894 0.5313 0.5100 29106
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+ weighted avg 0.5894 0.5313 0.5100 29106
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  ```