There are 1 repository under car-detection topic.
This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.
Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.
In this system you can detect cars from video or live webcam
This app detects types of cars and counts cars using YOLOv3
使用HOG和SVM进行目标检测
YOLOPv2のPythonでのONNX推論サンプル
In this project, we compared different YOLO models by training them on drone images from the Unifesp parking lot to detect cars. Our objective was to assess their performance and identify the most effective model for improving traffic flow and optimizing parking space utilization.
Iranian Vehicle Tracking and Recognition + License Plate Recognition Using Yolov5, OSNet
使用OpenCV部署HybridNets,同时处理车辆检测、可驾驶区域分割、车道线分割,三项视觉感知任务,包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行, 彻底摆脱对任何深度学习框架的依赖。
MASK-RCNN implementation for Lyft Perception Challenge
This program detects vehicles that are not moving
detecting model and the name of the cars with deep neural networks like VGG-16 , YOLOv5 and YOLOv8
software pipeline to identify the lane boundaries and cars in a video for autonomous self-driving cars
A simple night time vehicle tracking algorithm via headlight
Object classification and segmentation in images
This project is for learning computer vision using openCV and python.
Application of pre-trained YOLO object detection model to car detection for autonomous driving
a prototype through raspberry pi shows whether the captured video consists of a car or not and counts them.
Building autonomous vehicles from the ground up!
Implemention of Fast RCNN by Tensorflow
YOLO Car Detection
Vehicle detection and tracking
CNN-based real-time car parking lot classification
Autonomous Driving Car Detection Application using YOLO algorithm
🎖️1st prize from TotalEnergies for Technical Excellence (the best score) during a Hackathon. It's an AI solution for detecting a car in an image and estimating its CO2 emission.
car detection and tracking
Car Detection with YoloV5 for Computer Vision Course
An Object Detection System to detect Highway Vehicles and their Numberplates.
Autonomous car detection application using Convolutional Neural Network (CNN). YOLO model is used in this project
Haar cascade classifiers detecting cars and persons in videos with OpenCV.
using YOLO algorithm for detecting all the cars in an image
This application is designed using Flutter and Dart. This application will ask the user i.e., traffic police to choose any one out of these given options. It will represent information regarding vehicles which either have crossed the zebra crossing or not, at the traffic signal.