Traffic Signs Recognition
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Updated
Oct 3, 2023 - HTML
Traffic Signs Recognition
My solution for Self Driving Car Nanodegree project #5
Traffic Sign Classifier - Udacity Self-Driving Car Engineer Nanodegree
🚘 My personal blog on Data Science, Machine Learning, and Artificial Intelligence
German Traffic Sign Classifier using Convolution Network
Self-Driving Car Nanodegree
Udacity self driving car nanodegree
Reinforcement learning for self-driving car simulation
Project 2 of Udacity's self-driving car nanodegree
Used computer vision techniques to find lane lines on the road
Self-Driving Car Nanodegree
Gateway for driverless cars using LWM2M Protocol following the OMA Specification
CovNET classifier with Tensorflow
German Traffic Sign Classification Project for Self-Driving Car Nano Degree Term 1. A CNN is designed and trained to detect the traffic signs using the German Traffic Sign Dataset. The system is also tested on German traffic signs to measure its performance.
Lane lines detection Project for Self-Driving Car ND using python and opencv
Project#1 of the Udacity Self Driving Nano Degree program - Identifying lane lines in image & video stream.
Traffic Signs Classification Using CNN (Conv Neural Networks) -- a 98.1% Solution -- for Self-Driving Cars. Uses a VGG-lite model for Image Classification.
Audacity > Self Driving Car > Term 1 > Project 2 - Traffic Sign Classifier
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