Top 25 vehicle-detection open source projects

This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html

OpenCV implementation of lane and vehicle tracking

Udacity Self-Driving Car Engineer Nanodegree projects.

Vehicle Detection with Convolutional Neural Network

real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

Vehicle Detection by Haar Cascades with OpenCV

Vehicle Detection, Tracking and Counting

Vehicle detection using YOLO in Keras runs at 21FPS

KITTI data processing and 3D CNN for Vehicle Detection

Term 1, Project 5 - Udacity Self Driving Car Nanodegree

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

ODAM - Object detection and Monitoring

Vehicle detection and tracking using linear SVM classifier

Detect and track vehicles in video

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

A Network for detecting and classifying vehicle's front and rear

An implementation of Faster R-CNN applied to vehicle detection.

Detect vehicles in a video

No description or website provided.