Autonomous driving - car detection using the very powerful YOLO model
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Updated
Jul 18, 2018 - Python
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Autonomous driving - car detection using the very powerful YOLO model
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
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 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.
This model is very useful to detecting cars, buses, and trucks in a video.
Simple car and pedestrian detection in video using "openCV" library 🚗 🚶
Detection of cars from video or live webcam using opencv python
Detection of cars from video or live webcam using opencv python
Detecting Cars in a video using OpenCV and the pretrained haarcascade data set for car detection!
Web-service for car washes
"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
Using OpenCV to detect cars! This is how self driving cars works. Using pretrained data of haarcascade for detecting cars!
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