mohamedameen93 / German-Traffic-Sign-Classification-Using-TensorFlowLinks
In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.
☆71Updated 5 years ago
Alternatives and similar repositories for German-Traffic-Sign-Classification-Using-TensorFlow
Users that are interested in German-Traffic-Sign-Classification-Using-TensorFlow are comparing it to the libraries listed below
Sorting:
- Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".☆334Updated 3 years ago
- To train a model to detect German traffic signs with tensorflow object detection API☆35Updated 7 years ago
- An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.☆82Updated 7 years ago
- Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program☆43Updated 6 years ago
- capsule networks that achieves outstanding performance on the German traffic sign dataset☆126Updated 7 years ago
- A Deep Neural Network to do traffic sign recognition☆47Updated 8 years ago
- Vehicle Detection with Convolutional Neural Network☆155Updated 8 years ago
- Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree☆435Updated 5 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.☆65Updated 8 years ago
- OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars☆243Updated 4 years ago
- Lane Lines Detection using Python and OpenCV for self-driving car☆109Updated 7 years ago
- Implementation of darkflow on traffic sign detection and classification☆74Updated 2 years ago
- Finding Lane Lines using Python and OpenCV☆342Updated 4 years ago
- ☆136Updated 7 years ago
- This repository is aimed towards using advanced computer vision techniques to accurately detect lane lines on unfavorable roads.☆14Updated 4 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation☆89Updated 7 years ago
- Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.☆103Updated 2 years ago
- A End to End CNN Model which predicts the steering wheel angle based on the video/image☆150Updated 6 years ago
- Proyecto Integrador - Ing. en Computación☆42Updated 3 years ago
- A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Eng…☆121Updated 7 years ago
- A collection of all projects pertaining to different layers in the SDC software stack☆233Updated 7 years ago
- Learn to map surrounding vehicles onto a bird's eye view of the scene.☆211Updated 5 years ago
- A collection of labeled car driving datasets☆113Updated 4 years ago
- ☆73Updated 4 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Advanced Lane Finding☆54Updated 8 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆59Updated 7 years ago
- Autonomous driving - car detection using the very powerful YOLO model☆84Updated 7 years ago
- ☆36Updated 5 years ago
- Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking☆228Updated 3 years ago
- Built a real-time lane departure warning system with a monocular camera, using OpenCV.☆229Updated 5 years ago