From d1a508df86383f65abf2d3c652476b8503cc5911 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Faz=C4=B1l=20Alt=C4=B1nel?= Date: Fri, 7 Dec 2018 01:09:44 +0900 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 86ff549..c7eec7f 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ # Self-Driving Car Traffic Light Detection and Classification ## Overview -This repository contains TensorFlow implementation of traffic light detection and classification task of images taken using a self-driving car. +This repository contains TensorFlow implementation of traffic light detection and classification task for Udacity annotated self-driving dataset. ### Method In order to detect traffic lights, a pre-trained model is used (Single Shot Multibox Detector (SSD) with Inception v2 from the TensorFlow Zoo on MS-COCO dataset). The object detector is lightweight. However, the detection accuracy is not high under some conditions such as occlusion. More complex object detectors can perform better.