000			01240nam a22002057a 4500
003			OSt
005			20220107122852.0
008			190704b xxu||||| |||| 00| 0 eng d
040			_cIIITMK
100			_aVidhya V P (92217026) _916046
245			_aObject detection using machine learning applications
300			_aMSC DA 2017-2019
500			_aObject detection involves detecting instances of objects from a particular class in an image.The goal of object detection is to detect all instances of objects from a known class, such as people, cars or faces in an image. Typically only a small number of instances of the object are present in the image, but there is a very large number of possible locations and scales at which they can occur and that need to somehow be explored.Object Detection can be done via multiple ways:Feature-Based Object Detection,Viola Jones Object Detection,SVM Classications with HOG Features,Deep Learning Object Detection.Here object detection using deep learning is used.
502			_bMSC DA _c2017-2019 _dINT _eDr Manoj Kumar T K
650			_aOBJECT DETECTION _916047
650			_aIMAGE CLASSIFICATION _916048
650			_aDEEP LEARNING _916049
650			_aMACHINE LEARNING _916050
942			_2ddc _cPR
999			_c6540 _d6540