Zhiyu-Lei / Traffic-Sign-Detection-and-Information-Extraction
Train YOLO object detection model to find traffic signs in the images. Use OCR pipeline to extract the information from the signs with text.
☆12Updated 4 years ago
Alternatives and similar repositories for Traffic-Sign-Detection-and-Information-Extraction
Users that are interested in Traffic-Sign-Detection-and-Information-Extraction are comparing it to the libraries listed below
Sorting:
- Identifying traffic signs in real time using YOLO for autonomous self driving car☆72Updated last year
- Detect and track vehicles on a video stream and count those going through a defined line.☆94Updated 6 years ago
- Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.☆39Updated 5 years ago
- Hobby project to track vehicles that are over speeding and violating red light☆302Updated 3 years ago
- Final Project for Applications of Machine Learning in Mechatronic Systems☆28Updated 4 years ago
- The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisit…☆165Updated 2 years ago
- This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed es…☆313Updated 2 years ago
- deepsort + yolov3 + velocity-tracker☆20Updated 4 years ago
- Implementation of darkflow on traffic sign detection and classification☆74Updated last year
- Autonomous Self-Driving Car Prototype - with automatic steering control, traffic sign recognition, traffic light detection and other obje…☆16Updated 4 months ago
- Real time traffic sign classification using deep learning☆13Updated 8 years ago
- Trajectory estimation of vehicles in crowded and crossroad scenarios☆10Updated 4 years ago
- Trajectory extraction from traffic surveillance videos☆13Updated 4 years ago
- Using Python and OpenCV to count cars on a highway.☆61Updated 4 years ago
- Lane Lines Detection using Python and OpenCV for self-driving car☆107Updated 7 years ago
- In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image proc…☆21Updated 4 years ago
- YOLOv5 Object Detection on Traffic Signs Dataset with Custom Training☆12Updated 3 years ago
- A License-Plate detecttion application based on YOLO☆128Updated 3 years ago
- A tutorial for training YOLOv3 to detect traffic lights using BOSCH small traffic light dataset.☆127Updated 3 years ago
- A traffic sign classifier built with TensorFlow☆18Updated 7 years ago
- This project is my implementation of NVIDIA's PilotNet End to End deep CNN (built with Keras) to clone the behavior of a self driving c…☆9Updated 6 years ago
- ☆67Updated 4 years ago
- The System consists of two main components. Vehicle detection model and A graphical user interface (GUI)☆164Updated 8 months ago
- Lane detection using deep learning (Fully Connected CNN) and OpenCV☆16Updated 6 years ago
- A project to demonstrate lane detection with a front facing camera.☆119Updated last year
- Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with…☆53Updated 3 years ago
- ☆29Updated 2 years ago
- My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison bet…☆81Updated 4 years ago
- Video Content Description (VCD) is a schema, API and set of tools to produce semantically rich labels from multi-sensorial data series.☆61Updated 2 years ago
- Computer Vision algorithm to compute road curvature and lane vehicle offset using OpenCV Image Processing, Camera Calibration, Perspectiv…☆13Updated 5 years ago