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## Overview ## Overview
This repository contains TensorFlow implementation of traffic light detection and classification task for Udacity annotated self-driving dataset. This repository contains TensorFlow implementation of traffic light detection and classification task for Udacity annotated self-driving dataset.
![](/out/demo.gif)
### Method ### 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. 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.

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