Hugging Face's logo

dima806
/
military_aircraft_image_detection

Image Classification
Transformers
Safetensors
vit
Inference Endpoints
Model card Files Community
dima806 commited on
Commit
d6b4380
•
1 Parent(s): 9929fe7

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +54 -53
README.md CHANGED
@@ -8,64 +8,65 @@ Returns military aircraft type given cropped image.
8
 
9
  See https://www.kaggle.com/code/dima806/military-aircraft-detection-vit for more details.
10
 
11
- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/QvimehK1ZAAi12p6C7aKa.png)
12
 
13
  ```
14
  Classification report:
15
 
16
  precision recall f1-score support
17
 
18
- A10 0.7172 0.5337 0.6120 594
19
- A400M 0.6711 0.5118 0.5807 594
20
- AG600 0.6501 0.8603 0.7406 594
21
- AV8B 0.4678 0.7222 0.5678 594
22
- B1 0.6356 0.6667 0.6508 594
23
- B2 0.8994 0.7222 0.8011 594
24
- B52 0.8448 0.4949 0.6242 594
25
- Be200 0.8337 0.5909 0.6916 594
26
- C130 0.6241 0.2879 0.3940 594
27
- C17 0.3619 0.0640 0.1087 594
28
- C2 0.6818 0.6061 0.6417 594
29
- C5 0.4359 0.3838 0.4082 594
30
- E2 0.7409 0.8232 0.7799 594
31
- E7 0.3847 0.9798 0.5524 594
32
- EF2000 0.5111 0.0774 0.1345 594
33
- F117 0.7265 0.8855 0.7982 594
34
- F14 0.4649 0.3906 0.4245 594
35
- F15 0.3049 0.1145 0.1665 594
36
- F16 0.6825 0.0724 0.1309 594
37
- F18 0.7015 0.2374 0.3547 594
38
- F22 0.4070 0.4899 0.4446 594
39
- F35 0.4933 0.0623 0.1106 594
40
- F4 0.5254 0.0522 0.0949 594
41
- H6 0.8989 0.5387 0.6737 594
42
- J10 0.4790 0.4798 0.4794 594
43
- J20 0.3865 0.3266 0.3540 594
44
- JAS39 0.3771 0.2997 0.3340 594
45
- JF17 0.1793 0.8889 0.2984 594
46
- KC135 0.3192 0.8384 0.4624 594
47
- MQ9 0.6192 0.9007 0.7339 594
48
- Mig31 0.7306 0.5387 0.6202 594
49
- Mirage2000 0.4619 0.1532 0.2301 594
50
- P3 0.5242 0.6751 0.5901 594
51
- RQ4 0.7242 0.7205 0.7224 594
52
- Rafale 0.3624 0.1330 0.1946 594
53
- SR71 0.6989 0.6212 0.6578 594
54
- Su24 0.6683 0.4478 0.5363 594
55
- Su25 0.6923 0.5909 0.6376 594
56
- Su34 0.6242 0.7997 0.7011 594
57
- Su57 0.7410 0.5539 0.6339 594
58
- Tornado 0.6455 0.2391 0.3489 594
59
- Tu160 0.6377 0.8771 0.7385 594
60
- Tu95 0.7044 0.8266 0.7607 594
61
- U2 0.8798 0.2710 0.4144 594
62
- US2 0.7991 0.5690 0.6647 594
63
- V22 0.7442 0.8670 0.8009 594
64
- Vulcan 0.7124 0.5337 0.6102 594
65
- XB70 0.6224 0.9630 0.7561 594
66
- YF23 0.3157 0.9832 0.4779 594
 
67
 
68
- accuracy 0.5360 29106
69
- macro avg 0.5983 0.5360 0.5152 29106
70
- weighted avg 0.5983 0.5360 0.5152 29106
71
  ```
 
8
 
9
  See https://www.kaggle.com/code/dima806/military-aircraft-detection-vit for more details.
10
 
11
+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/UCixv4CV72jwqxSDxpTe4.png)
12
 
13
  ```
14
  Classification report:
15
 
16
  precision recall f1-score support
17
 
18
+ A10 0.4564 0.1797 0.2579 612
19
+ A400M 0.2509 0.1160 0.1587 612
20
+ AG600 0.5324 0.2549 0.3448 612
21
+ AV8B 0.1918 0.2614 0.2213 612
22
+ B1 0.4574 0.2892 0.3544 612
23
+ B2 0.9184 0.6438 0.7570 612
24
+ B52 0.2526 0.0392 0.0679 612
25
+ Be200 0.3063 0.6471 0.4157 612
26
+ C130 0.3764 0.1095 0.1696 612
27
+ C17 0.2609 0.0098 0.0189 612
28
+ C2 0.3904 0.4657 0.4247 612
29
+ C5 0.2548 0.0654 0.1040 612
30
+ E2 0.4668 0.5735 0.5147 612
31
+ E7 0.2746 0.8350 0.4133 612
32
+ EF2000 0.2826 0.0212 0.0395 612
33
+ F117 0.7113 0.7729 0.7408 612
34
+ F14 0.6552 0.0310 0.0593 612
35
+ F15 0.0435 0.0016 0.0031 612
36
+ F16 0.1216 0.1176 0.1196 612
37
+ F18 0.3333 0.0033 0.0065 612
38
+ F22 0.4348 0.1471 0.2198 612
39
+ F35 0.1625 0.0948 0.1197 612
40
+ F4 0.1293 0.0915 0.1072 612
41
+ H6 0.4947 0.4592 0.4763 612
42
+ J10 0.4068 0.1176 0.1825 612
43
+ J20 0.2875 0.0752 0.1192 612
44
+ JAS39 0.1104 0.0294 0.0465 612
45
+ JF17 0.0895 0.6977 0.1586 612
46
+ KC135 0.1947 0.5784 0.2914 612
47
+ MQ9 0.5690 0.2761 0.3718 612
48
+ Mig31 0.2339 0.1307 0.1677 612
49
+ Mirage2000 0.1443 0.0703 0.0945 612
50
+ P3 0.2882 0.6324 0.3959 612
51
+ RQ4 0.5436 0.3971 0.4589 612
52
+ Rafale 0.1224 0.1520 0.1356 612
53
+ SR71 0.4489 0.2369 0.3102 612
54
+ Su24 0.1739 0.0392 0.0640 612
55
+ Su25 0.5310 0.1258 0.2034 612
56
+ Su34 0.6000 0.2500 0.3529 612
57
+ Su57 0.2134 0.5784 0.3118 612
58
+ Tornado 0.1870 0.0376 0.0626 612
59
+ Tu160 0.4955 0.6307 0.5550 612
60
+ Tu22M 0.2424 0.0261 0.0472 612
61
+ Tu95 0.2751 0.4706 0.3472 612
62
+ U2 0.3270 0.3105 0.3185 612
63
+ US2 0.3126 0.5817 0.4066 612
64
+ V22 0.6096 0.2908 0.3938 612
65
+ Vulcan 0.7295 0.4363 0.5460 612
66
+ XB70 0.5631 0.3644 0.4425 612
67
+ YF23 0.2442 0.8905 0.3833 612
68
 
69
+ accuracy 0.2931 30600
70
+ macro avg 0.3540 0.2931 0.2656 30600
71
+ weighted avg 0.3540 0.2931 0.2656 30600
72
  ```