Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Detect vehicles in images using machine learning and computer vision methods.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeVehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
vehicle-detection has 1.1k stars on GitHub. It has been forked 173 times. vehicle-detection is written mainly in Jupyter Notebook. It has been in active development since 2017. Its main topics are computer-vision, hog-features, machine-learning, self-driving-car.
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
vehicle-detection is an open-source project.
Yes. vehicle-detection is free and open source — you can use, modify and self-host it.
vehicle-detection is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/tatsuyah-vehicle-detection.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.