A Traffic Sign Detection System Written by Python (SVM Classifier).

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CNN to detect and classify traffic signs

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Experimenting with multiple deep learning models on Zalo AI Challenge on Traffic Sign Detection

This project implements a traditional computer vision approach for detecting and recognizing traffic signs. The application uses a combination of color segmentation, edge detection, template matching, and shape analysis to identify traffic signs in real-time from a video feed.

Compared efficience between three models: YOLO, Faster-R-CNN, CNN. My project includes two type: realtime and uploading image

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Traffic Sign Detection and Recognition based on color detection and libsvm

A same project as TrafficSignDetectionRecognition, while coded in Matlab

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High accuracy CNN Model for Traffic Sign Detection

Detection of 19 different traffic signs using YOLOv3 object detector

Machine Learning Project 2024-25

MATLAB implemetation

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Traffic Sign Detection using Transfer Learning to replicate the ResNet-34 model

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Progetto di Machine (Deep) Learning con l'obiettivo di realizzare Traffic Sign Detection a partire dal GTSDB

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Classification of traffic signal using keras and Deep Learning

Traffic Sign Detection

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Machine Learning Project 2024/25

Repo of group 47 (Thibaud and Nicolas) for the project 13 (traffic sign detection)

Traffic Sign Classification using EfficientNet

TrafficSignDetection

This repository contains the implementation of traffic sign detection using various deep learning techniques, including VGGNet, LeNet, and GoogleNet.

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