Traffic Sign detection for visually impaired people

[aaradhyasinghgaur]

Is your feature request related to a problem? Please describe. for visually impaired people the most common problem is to be able to cross or walk on roads by themselves . for them to be able to do all these things I want to implemet detection dl model for traffic signs for road-safety.

Describe the solution you'd like

• I'd like to implement various different (CNN / RNN) pre-trained models such as (Xception , VGG16 etc.) using tranfer learning for the dataset and analyse which one has a better accuracy for traffic sign recognition.
• I'll also perform data analysis on the mentioned dataset
• Compare all the models for their accuracy scores using accuracy score , graph etc.
• I will use 3 deep learning models
• Tools I'll use :- Numpy , keras , matplotlib , scikit-learn etc. Dataset :- https://www.kaggle.com/datasets/ahemateja19bec1025/traffic-sign-dataset-classification

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

Additional context Add any other context or screenshots about the feature request here.

GSSOC - 2024 Contributor . @TAHIR0110 @Atharv714 kindly assign me this issue

[github-actions[bot]]

Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.

[TAHIR0110]

@kyra-09 assigned! I would suggest to explore more datasets.

[AnoushkaIshi]

Can I work on this ?