Closed Sindhu-2004 closed 1 month ago
Can you share the dataset and approach for solving this issue?
Title : Traffic Sign Recognition Aim : Implementation of Traffic Sign recognition using a Convolutional Neural Network to address the increased risk of road accidents caused by poor visibility of traffic signs especially in winter, which is crucial for the safety of Automatic Driving Vehicles. Dataset : [Traffic Sign ] https://www.kaggle.com/datasets/ahemateja19bec1025/traffic-sign-dataset-classification Approach : I will be implementing Convolutional Neural Network, Keras
One issue at a time.
Hey @abhisheks008 Can you assign this issue to me?
Hi @Sindhu-2004 as you have opened various new issues for this repo. If I assign someone in this issue, will that be okay with you?
I am ok if you assign this traffic sign recognition issue with others, but I wanted to work remaining other issues which I have opened
Then if it is okay then @abhisheks008 please assign me this issue.
Hi @kyra-09 can you please share the detailed approach for solving this issue?
Full Name :- Aaradhya Singh Github Id :- https://github.com/kyra-09 Email Id :- aaradhyasinghgaur@gmail.com Aim :- Traffic Sign recognition using DL models Approach :- I will use Transfer learning with already existing network architecture on a specified dataset including data analysis and compare between the performance and accuracy of models used for the purpose .....I'll also optimize the models according to dimensions and annotations given for the dataset . Tools I might use (depending upon the complexity of dataset) :- Keras , PyTorch , OpenCV Program :- GSSOC-2024 Contributor
Assigned @kyra-09
Implementation of Traffic Sign recognition using a Convolutional Neural Network to address the increased risk of road accidents caused by poor visibility of traffic signs especially in winter, which is crucial for the safety of Automatic Driving Vehicles.