There are 0 repository under cardetection topic.
Autonomous driving - car detection using the very powerful YOLO model
Detecting Cars in real time and identifying the speed of cars and tracking
This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.
Detecting Cars in real time and identifying the speed of cars and tracking
Car's plate detection and car's colour detection with YOLO5 and LPRnet
"Car Detection" is trained in Keras using Tensorflow as back-end. It's taking an image as input & gives a binary decision whether a car is present in the image or not.
Simple car and pedestrian detection in video using "openCV" library :car: :walking:
Car-Model-Detection is a Python project that uses transfer learning with the ResNet50 model to detect the brand of cars.
Mini Projects like lane detection, face detection, car detection, pedestrian detection and segmentation using only OpenCV tools.
This repository is related to an autonomous car drive project.
Deep Learning Projects | Neural Networks | Regularization & Gradiant Descent | TensorFlow | Face Recognition | Art generation | Yolo Algorithm (Object Detection)
Detection of cars from video or live webcam using opencv python
Car Detection for Autonomous driving using YOLO algorithm.
This model is very useful to detecting cars, buses, and trucks in a video.
Using OpenCV to detect cars! This is how self driving cars works. Using pretrained data of haarcascade for detecting cars!
Detecting Cars in a video using OpenCV and the pretrained haarcascade data set for car detection!
AI car & pedestrian tracking in python utilizing computer vision rather than lidar due to efficiency
"Car Detection" is trained in Keras using Tensorflow as back-end. It's taking an image as input & gives a binary decision whether a car is present in the image or not.
Cars and Pedestrains Detection