From 7d38b70de2d6f7607473327ebfc86fce3ad938bb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Faz=C4=B1l=20Alt=C4=B1nel?= Date: Fri, 7 Dec 2018 01:34:51 +0900 Subject: [PATCH] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index c7eec7f..0ebfbb6 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,7 @@ ## Overview This repository contains TensorFlow implementation of traffic light detection and classification task for Udacity annotated self-driving dataset. +![](/out/demo.gif) ### 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.