With the growth of deep learning and digital image processing, it is require knowing about the facts of deep learning. Deep learning is major factor of object detection. In existing research R-CNN algorithm used for detect the objects from an image while in this proposed research method we are using YOLO ( you only look once)algorithm to detect the different objects in a single image. This is less time consuming because we only recognize a image once and we detect the whole objects in an image.
Key-Words / Index Term
Digital image processing, image recognition, Accuracy, time complexity, histogram , K-MEANS,YOLO
 Yali Amit and Pedro Felzenszwalb, University of Chicago
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With the growth of computer vision, digital image processing is necessary to provide a clear image to the user. In existing research detection of pole side objects with the help of an LiDar which only detect the object but not with clear transparency in proposed research we are try to give the clear vision of the pole side object with the help of fusion of LiDar and orthophoto and also improve the accuracy of an image.
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