metadata
license: apache-2.0
metrics:
- accuracy
- f1
Returns treffic sign given an image.
See https://www.kaggle.com/code/dima806/traffic-sign-detection-vit for more details.
Classification report:
precision recall f1-score support
Bicycles crossing 1.0000 0.9512 0.9750 205
Children crossing 0.8306 1.0000 0.9075 206
Danger Ahead 0.9581 1.0000 0.9786 206
Dangerous curve to the left 0.8019 0.8252 0.8134 206
Dangerous curve to the right 0.8057 0.8252 0.8153 206
Dont Go Left 1.0000 0.9854 0.9927 206
Dont Go Left or Right 1.0000 1.0000 1.0000 205
Dont Go Right 0.9758 0.9854 0.9806 205
Dont Go straight 1.0000 1.0000 1.0000 206
Dont Go straight or left 0.9406 1.0000 0.9694 206
Dont overtake from Left 0.9712 0.9806 0.9758 206
Fences 0.9810 1.0000 0.9904 206
Go Left 0.9895 0.9175 0.9521 206
Go Left or right 0.8789 0.9561 0.9159 205
Go Right 1.0000 0.9903 0.9951 206
Go left or straight 0.8000 0.8976 0.8460 205
Go right or straight 0.9108 0.6942 0.7879 206
Go straight 0.9286 0.7610 0.8365 205
Go straight or right 1.0000 0.7816 0.8774 206
Heavy Vehicle Accidents 0.9856 1.0000 0.9928 206
Horn 1.0000 1.0000 1.0000 206
No Car 1.0000 1.0000 1.0000 205
No Uturn 0.9762 1.0000 0.9880 205
No entry 1.0000 1.0000 1.0000 205
No horn 1.0000 1.0000 1.0000 205
No stopping 0.9952 1.0000 0.9976 206
Road Divider 1.0000 1.0000 1.0000 206
Roundabout mandatory 0.9856 1.0000 0.9928 206
Speed limit (15km/h) 1.0000 1.0000 1.0000 206
Speed limit (30km/h) 0.9224 0.9806 0.9506 206
Speed limit (40km/h) 0.9791 0.9078 0.9421 206
Speed limit (50km/h) 0.9794 0.9268 0.9524 205
Speed limit (5km/h) 1.0000 0.9854 0.9926 205
Speed limit (60km/h) 1.0000 0.4341 0.6054 205
Speed limit (70km/h) 0.9851 0.9707 0.9779 205
Train Crossing 0.9810 1.0000 0.9904 206
Under Construction 1.0000 0.9902 0.9951 205
Unknown 1.0000 0.5680 0.7245 206
Uturn 1.0000 1.0000 1.0000 206
Zebra Crossing 0.9333 0.9561 0.9446 205
ZigZag Curve 0.8039 1.0000 0.8913 205
keep Left 0.7155 0.8058 0.7580 206
keep Right 0.8458 0.9854 0.9103 206
speed limit (80km/h) 0.6060 0.9902 0.7519 205
watch out for cars 1.0000 1.0000 1.0000 206
accuracy 0.9345 9252
macro avg 0.9437 0.9345 0.9326 9252
weighted avg 0.9437 0.9345 0.9326 9252