Object detection using machine learning applications
Material type:
TextDescription: MSC DA 2017-2019Subject(s): Dissertation note: MSC DA 2017-2019 INT
| Item type | Current library | Call number | Status | Date due | Barcode | |
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Project Reports
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Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | Not for loan | R-1565 |
Object 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.
MSC DA 2017-2019 INT Dr Manoj Kumar T K
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