Paper Title
Elucidating From Pixels to Objects: A Deep Dive in to Object Detection Techniques

Abstract
Object detection is considered a classical problem of computer vision. This concept is used to accomplish the classification and localization of objects in a video or image. Object detection algorithms use a combination of image processing techniques, machine learning, and deep learning methods. To predict the location and presence of an object these algorithms analyze the visual feature in an input image and video frames. This concept is used in various real-life applications, like surveillance, sign language detection, object tracking, traffic monitoring, the health sector, etc. This paper presented a detailed survey of different object detection techniques such as the YOLO family, EfficientDet, and Transformer which are used to perform detection with improved accuracy, efficiency, and robustness. Keywords - Object Detection, YOLO Family, Efficientdet, Transformer.

Author - Ashish Tiwari, Sakshi Yadav

Published : Volume-10,Issue-8  ( Aug, 2023 )

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