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# System prepended metadata

title: Proposal

---

# Proposal
## traffic sign
### input and output:
*    ![](https://i.imgur.com/ILRmTEe.png) -> ![](https://i.imgur.com/XtKIaYU.png)
*    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
