mohamedameen93 / German-Traffic-Sign-Classification-Using-TensorFlow
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
- A Deep Neural Network to do traffic sign recognition☆47Updated 7 years ago
- Implementation of darkflow on traffic sign detection and classification☆73Updated last year
- To train a model to detect German traffic signs with tensorflow object detection API☆35Updated 7 years ago
- Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.☆50Updated 7 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.☆65Updated 8 years ago
- Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program☆42Updated 6 years ago
- Lane Detection for Self-Driving Car, using Computer Vision Techniques☆50Updated 7 years ago
- capsule networks that achieves outstanding performance on the German traffic sign dataset☆126Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆58Updated 7 years ago
- ☆100Updated 2 years ago
- This repository is aimed towards using advanced computer vision techniques to accurately detect lane lines on unfavorable roads.☆14Updated 4 years ago
- Various networks that could be the basis of a vision system for self-driving cars☆84Updated 7 years ago
- [repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence☆94Updated 7 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation☆86Updated 7 years ago
- Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".☆328Updated 2 years ago
- Detecting Road Features: identifying lane and vehicles boundaries in a video.☆99Updated 7 years ago
- A collection of labeled car driving datasets☆111Updated 3 years ago
- A traffic sign classifier built with TensorFlow☆18Updated 7 years ago
- Classify traffic signs using deep neural networks☆14Updated 7 years ago
- ☆189Updated 3 years ago
- Real-time LISA Traffic Sign Detection by YOLOv2☆25Updated 7 years ago
- ☆65Updated 7 years ago
- In this project, I used OpenCV to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a ca…☆25Updated 7 years ago
- Traffic Light Detection using the tensorflow object detection API☆19Updated 5 years ago
- An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.☆80Updated 6 years ago
- vehicle detection with deep learning☆34Updated 7 years ago
- Self Driving Car Vehicle Detection☆70Updated 7 years ago
- Vehicle Detection with Convolutional Neural Network☆154Updated 7 years ago
- Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mil…☆40Updated 7 years ago
- Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection☆124Updated 7 years ago