Object detection using machine learning applications
- MSC DA 2017-2019
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.
OBJECT DETECTION IMAGE CLASSIFICATION DEEP LEARNING MACHINE LEARNING