Image sorting using object detection and face recognition

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dc.contributor.authorKhan, Mubashir
dc.contributor.authorShaikh, Rehan (16CO52)
dc.contributor.authorShaikh, Arbaz (16CO54)
dc.contributor.authorShaikh, Sohail (16CO57)
dc.date.accessioned2021-11-03T07:13:59Z
dc.date.available2021-11-03T07:13:59Z
dc.date.issued2020-05
dc.description.abstractThe requirement of the user is to quickly organize their images while doing little work. To achieve this we have implemented image sorting and grouping using three techniques; Object detection, face recognition and face detection. Face detection is acheived using Haar cascade classifier, whereas face recognition is done using LBPH algorithm. Object detection uses a deep learning method called as YOLO algorithm. Keywords: Adaboost, Machine learning, Deep learning, Categorize, Object detection, Face detection, Face recognition, Convolution Neural Network(CNN).en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3614
dc.language.isoenen_US
dc.publisherAIKTCen_US
dc.subjectProject Report - COen_US
dc.titleImage sorting using object detection and face recognitionen_US
dc.typeOtheren_US
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