https://github.com/vaishnavi-3969/sign-mapper

Sign-Mapper: Traffic Sign Classifier and Detector
https://github.com/vaishnavi-3969/sign-mapper

ai cnn decision-tree ml streamlit svm-classifier

Last synced: 20 days ago
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Sign-Mapper: Traffic Sign Classifier and Detector

• Host: GitHub
• URL: https://github.com/vaishnavi-3969/sign-mapper
• Owner: vaishnavi-3969
• License: mit
• Created: 2023-05-14T03:36:40.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-05-14T13:59:00.000Z (over 1 year ago)
• Last Synced: 2024-10-04T22:26:50.806Z (about 1 month ago)
• Topics: ai, cnn, decision-tree, ml, streamlit, svm-classifier
• Language: Jupyter Notebook
• Homepage:
• Size: 6.28 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
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# SIGN MAPPER: Traffic Sign Classifier and Detector

![medium](https://github.com/vaishnavi-3969/AI-Hackfest/assets/80088403/2f771fb5-c24f-4b6e-8785-05f08b2082cd)

Sign Mapper is a web application that allows users to add image link of road signs and receive predictions about what type of sign is in the image. The model is based on a convolutional neural network (CNN) that was trained on a large dataset of road sign images, and is capable of detecting a wide variety of signs, including stop signs, yield signs, speed limit signs, and more. The application also provides a visual output that shows the name and id of the detected sign in the input image.

## Authors

- [@vaishnavi-3969](https://github.com/vaishnavi-3969)

- [@Sreenidh26](https://github.com/Sreenidh26)

## Demo

https://www.youtube.com/watch?v=vJzBP9Hawx0&feature=youtu.be

## Screenshots

![App Screenshot](https://user-images.githubusercontent.com/80088403/238171584-8844c860-bc69-455a-8ef9-9bdd2babe119.png)

![App Screenshot](https://user-images.githubusercontent.com/80088403/238171587-acbcfe64-1627-466d-b0d8-a578464fa77c.png)

![App Screenshot](https://user-images.githubusercontent.com/80088403/238171589-edf3b58c-0d42-4e6c-b491-be544ff15d16.png)

![App Screenshot](https://user-images.githubusercontent.com/80088403/238171585-ac7b3c79-66db-446a-9c3d-d265afd3f145.png)

## Support

For support, email [email protected] or join our Slack channel.