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.