"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.

Autonomous driving - car detection using the very powerful YOLO model

Car detection using YOLO

Detecting Cars in real time and identifying the speed of cars and tracking

"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 🚗 🚶

Web-service for car washes

Car Detection for Autonomous driving using YOLO algorithm.

Deep Learning Projects | Neural Networks | Regularization & Gradiant Descent | TensorFlow | Face Recognition | Art generation | Yolo Algorithm (Object Detection)

Mini Projects like lane detection, face detection, car detection, pedestrian detection and segmentation using only OpenCV tools.

Detection of cars from video or live webcam using opencv python

This repository is related to an autonomous car drive project.

Cars and Pedestrains Detection

This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.

Car-Model-Detection is a Python project that uses transfer learning with the ResNet50 model to detect the brand of cars.

Detecting Cars in real time and identifying the speed of cars and tracking

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!