Vehicle Detection – using machine learning and computer vision
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree. - tatsuyah/vehicle-detection
Vehicle Detection – using machine learning and computer vision launched on October 30, 2017 with 153 votes, #237 of 3,169 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 8 years on.
In plain words
Vehicle Detection is an open-source tool using machine learning and computer vision to identify and locate vehicles in images and video. Built on GitHub, it serves developers and researchers working on autonomous systems, traffic monitoring, and surveillance applications. The project applies neural networks and image processing techniques to automatically detect vehicle presence and position, making it useful for anyone building computer vision systems that need to recognize vehicles in visual data.
written from the facts on this page · September 2026
Does a similar job
all alternatives →- AFAPI for detecting people, cars, and everyday objects in images2013 · dextrorobotics.com · ▲179

Build a DIY license plate reader with machine learning2020 · github.com · ▲190- AWAutopilot written in Keras for Self Driving Cars2019 · littlemountainman.github.io · ▲144
student, nomad in machine learning


More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Show HN post ↗
Launched alongside, October 2017
the whole month →

New Google Calendar▲1,041Google is launching a new look + new features for Calendar
Work · 2017 · support.google.com


