Search for car in highway using SIFT algorithm

all things you need to learn about openCV

Machine Learning Projects

Linux snap app, which can be used to count the amonth of traffic on a street, aka counts 🚗 passing.

Projects based on real time object detection using Haarcascade classifiers.

Car and pedestrian tracking software made in Python and OpenCV

LiDAR를 활용한 객체 탐지 프로젝트

AI-Driven car announcement helper

Car detection using detectMultiScale from OpenCV library

detecting license plates and cars in a video using YOLO NAS and YOLOv5

This project aims to detect vehicles and read license plates from video footage. It leverages YOLOv8 for object detection and the SORT algorithm for tracking vehicles across frames. The detected license plates are then processed using EasyOCR to extract the text, with a focus on Indian license plate formats.

Car detection with YOLO

Car and pedestrian tracker using Python and the OpenCV library.

Car detection algorithm with classical computer vision (no deep learning) using OpenCV and Scipy

Detect empty parking spaces using a custom YOLOv8 model trained on a specialized dataset, with image manipulation handled by OpenCV.

Draw bounding boxes for detect vehicles in a video using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM).

Detect Car and Human with Python

CarND Object Detection Lab