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UppuluriKalyani / ML-Nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
https://discord.gg/n2D4RqnU
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Implement CNN for Traffic Sign Recognition using GTSRB Dataset #82

Closed ojhankit closed 2 weeks ago

ojhankit commented 3 weeks ago

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.

github-actions[bot] commented 3 weeks ago

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. Your contributions are highly appreciated! 😊

ojhankit commented 3 weeks ago

@UppuluriKalyani assign this to me

UppuluriKalyani commented 3 weeks ago

@ojhankit Assigned!

github-actions[bot] commented 2 weeks ago

Hello @ojhankit! Your issue #82 has been closed. Thank you for your contribution!