alexstaravoitau / traffic-signsLinks
Building a CNN based traffic signs classifier.
☆147Updated 5 years ago
Alternatives and similar repositories for traffic-signs
Users that are interested in traffic-signs are comparing it to the libraries listed below
Sorting:
- [repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence☆94Updated 7 years ago
- 98.8 solution for german sign classifing problem, done as p2 for Udacity's Self-driving car nano degree☆68Updated 8 years ago
- Vehicle Detection Project☆267Updated 3 years ago
- ☆43Updated 8 years ago
- I am using an ensemble of classic computer vision and modern deep learning techniques, to detect the lane lines and the vehicles on a hig…☆48Updated 8 years ago
- Vehicle Detection with Convolutional Neural Network☆154Updated 8 years ago
- Self Driving Car Vehicle Detection☆70Updated 8 years ago
- Traffic Sign Recognition with Deep Learning CNN☆50Updated 8 years ago
- P4_AdvancedLaneFinding☆34Updated 8 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking☆59Updated 7 years ago
- Udacity Project - Vehicle Detection☆227Updated 7 years ago
- ☆137Updated 7 years ago
- p5_VehicleDetection_Unet☆94Updated 8 years ago
- A vehicle tracker based on sliding windows, HOG and an SVM☆44Updated 8 years ago
- Vehicle detection using YOLO in Keras runs at 21FPS☆391Updated 8 years ago
- Udacity Self-Driving Car Project 5: Vehicle Detection and Tracking☆228Updated 3 years ago
- Using OpenCV to detect Lane lines on Roads☆77Updated 8 years ago
- My work-through of the Jupyter notebook for the Udacity Self-Driving Car Nanodegree program Project 2 - Traffic Sign Classifier☆59Updated 8 years ago
- This is a deep learing approach to Udacitys "Vehicle Detection and Tracking" project in the CarND using CNNs.☆26Updated 7 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation☆87Updated 7 years ago
- Sample scripts for the Bosch Small Traffic Lights Dataset☆180Updated 4 years ago
- Traffic sign classification for the German Traffic Sign Dataset☆31Updated 8 years ago
- Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs☆531Updated 3 years ago
- ☆36Updated 4 years ago
- Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.☆68Updated 7 years ago
- Machine learning models for self-driving cars☆66Updated 8 years ago
- Traffic Light Detection and Classification using TensorFlow Object Detection API☆102Updated 6 years ago
- ☆189Updated 3 years ago
- Traffic Signs Detection and Recognition with Tensorflow☆293Updated 7 years ago
- A robust lane detection system based on fully convolutional network for segmenting the road and the lane.☆53Updated 8 years ago