Closed ojhankit closed 2 weeks ago
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@UppuluriKalyani assign this to me
@ojhankit Assigned!
Hello @ojhankit! Your issue #82 has been closed. Thank you for your contribution!
Description: I would like to propose the implementation of a Convolutional Neural Network (CNN) for traffic sign recognition, utilizing the German Traffic Sign Recognition Benchmark (GTSRB) dataset. This project aims to develop a robust model that can accurately classify traffic signs, which is crucial for applications in self-driving cars and enhancing road safety.
Background: The GTSRB dataset consists of over 50,000 images of traffic signs belonging to 43 classes. By using a CNN architecture, we can create a model that not only classifies these signs but also provides insights into the feature extraction process, enhancing the understanding of how different traffic signs are recognized by machine learning models.
Request for Feedback I am seeking feedback on this proposal and would like to work on this. Assign this to me.