# Proposal
## traffic sign
### input and output:
*  -> 
* e.g. 先classify出這張圖被分類到NO.28，再去把NO.28的意義輸出回來(當心兒童)
* 我們的輸入將混和來自德國和中國的標誌，希望能夠分辨出正確的意義

* input dataset
* https://www.kaggle.com/datasets/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign
* https://www.kaggle.com/datasets/shanmukh05/traffic-sign-cropped
* https://www.kaggle.com/datasets/valentynsichkar/traffic-signs-preprocessed
* https://www.kaggle.com/datasets/dmitryyemelyanov/chinese-traffic-signs
* related work:
* https://www.kaggle.com/code/shashankreddy999/traffic-signs-detection-by-yolo-v3-opencv-keras
* https://www.kaggle.com/code/valentynsichkar/traffic-signs-classification-with-cnn
* https://github.com/bob800530/CarND-Traffic-Sign-Classifier-Project
* https://medium.com/@bob800530/self-driving-car-project-3-%E4%BA%A4%E9%80%9A%E8%99%9F%E8%AA%8C%E8%BE%A8%E8%AD%98%E5%AF%A6%E4%BD%9C-8ad4e0a3b38d
* https://www.kaggle.com/code/the0electronic0guy/traffic-sign-classification
* https://www.kaggle.com/code/shivank856/gtsrb-cnn-98-test-accuracy