GitHub - DHANUSH1323/Real-time-traffic-recognition-and-classification: Real-time traffic sign recognition and classification system using hybrid Vision Transformer (ViT) and ResNet34 models. Achieves ~92% accuracy with YOLOv8-labeled data preprocessing and PyTorch-based inference pipeline.

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Real-time traffic sign recognition and classification system using hybrid Vision Transformer (ViT) and ResNet34 models. Achieves ~92% accuracy with YOLOv8-labeled data preprocessing and PyTorch-based inference pipeline.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
data.yaml		data.yaml
dataset.txt		dataset.txt
snehatal_dramados_kishoren_Final_Project.ipynb		snehatal_dramados_kishoren_Final_Project.ipynb
snehatal_dramados_kishoren_ViTResNet34 Fusion_model.ipynb		snehatal_dramados_kishoren_ViTResNet34 Fusion_model.ipynb
snehatal_dramados_kishoren_final_project_report.pdf		snehatal_dramados_kishoren_final_project_report.pdf
snehatal_dramados_kishoren_image_classification_models.ipynb		snehatal_dramados_kishoren_image_classification_models.ipynb