Deep Learning Based Object Detection (Fast R-CNN) in the Microsoft Cognitive Toolkit

The objective of the talk is to describe the DNN technology and show the full object detection pipeline encompassing image annotation, model training, evaluation. Fast R-CNN is a fast framework for object detection with deep ConvNets.Fast R-CNN was initially described in an [arXiv tech report](http://arxiv.org/abs/1504.08083) and later published at ICCV 2015. Microsoft Cognitive Toolkit (CNTK), an MIT Licensed open source deep-learning toolkitthat describes neural networks as a series of computational steps via a directed graph. It supports both Linux and Windows. Based on researchers at HKBU, CNTK’s LSTM performance is 5-10x faster than the other toolkits. The session introduct how to combine the state of art algoritm and toolkit to do image Object Detection.