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:
- A Deep Neural Network to do traffic sign recognition☆47Updated 8 years ago
- Implementation of darkflow on traffic sign detection and classification☆74Updated last year
- To train a model to detect German traffic signs with tensorflow object detection API☆35Updated 7 years ago
- capsule networks that achieves outstanding performance on the German traffic sign dataset☆126Updated 6 years ago
- vehicle detection with deep learning☆34Updated 7 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.☆65Updated 8 years ago
- Lane Detection for Self-Driving Car, using Computer Vision Techniques☆50Updated 8 years ago
- Vehicle Detection with Convolutional Neural Network☆153Updated 8 years ago
- Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.☆99Updated last year
- ☆137Updated 7 years ago
- Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.☆50Updated 7 years ago
- A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).☆86Updated 6 years ago
- OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars☆241Updated 4 years ago
- ☆100Updated 2 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree behavioral cloning project.☆43Updated 3 years ago
- An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.☆81Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆58Updated 7 years ago
- Real-time LISA Traffic Sign Detection by YOLOv2☆26Updated 7 years ago
- Various networks that could be the basis of a vision system for self-driving cars☆84Updated 7 years ago
- A traffic sign classifier built with TensorFlow☆18Updated 7 years ago
- Autonomous driving - car detection using the very powerful YOLO model☆84Updated 6 years ago
- Traffic Light Detection using the tensorflow object detection API☆19Updated 5 years ago
- Self Driving Car Vehicle Detection☆70Updated 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
- ☆36Updated 4 years ago
- Vehicle detection/tracking project using YOLO network☆22Updated 7 years ago
- ☆34Updated 7 years ago
- Detecting Road Features: identifying lane and vehicles boundaries in a video.☆100Updated 8 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 Nanodegree - Advance Lane Line Finder on a Video Stream☆25Updated 6 years ago