Paper Title
Object Identification in Indoor and Outdoor Scenes using CNN

Abstract
This paper discusses about object detection that involves the detection of object instances from an image from indoor and outdoor scenes. This process includes finding in- stances in images or videos of real-world objects, such as faces, bicycles and buildings. It also investigates the available technique for recognition of objects from images / videos using CNN systems such as Alexnet for visual analysis. CNN’s have proved to be strong contenders in recent years in image processing fields including image classification, pattern recognition, and multi-media compression. Standard data sets are used with data augmentation. Keywords - Object Detection, Image Classification, CNN