https://github.com/sreesankar711/traffic-signal-classification-using-cnn

To implement a CNN model that can detect and recognize traffic signals present in images. Next step is to implement a live dashcam traffic-signal prediction using the model.
https://github.com/sreesankar711/traffic-signal-classification-using-cnn

classification gtsrb-dataset ipynb machine-learning python

Last synced: about 2 months ago
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To implement a CNN model that can detect and recognize traffic signals present in images. Next step is to implement a live dashcam traffic-signal prediction using the model.

• Host: GitHub
• URL: https://github.com/sreesankar711/traffic-signal-classification-using-cnn
• Owner: sreesankar711
• Created: 2023-04-12T18:53:43.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-04-12T18:57:57.000Z (over 1 year ago)
• Last Synced: 2024-11-13T08:41:13.241Z (about 2 months ago)
• Topics: classification, gtsrb-dataset, ipynb, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.55 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# TRAFFIC-SIGNAL-CLASSIFICATION-USING-CNN

To implement a CNN model that can detect and recognize traffic signals present in images.

Next step is to implement a live dashcam traffic-signal prediction using the model.