Exploring Various Object Detection and Recognition Frameworks: A Review

Abstract

Detection of objects is one of the crucial parts of Computer Vision. As the technology has improved, Object Detection and Recognition has undergone a profound transformation, largely because of growth and rapid revolution in the field of Deep Learning. This paper provides a detail technological evolution in the field of detecting and recognizing objects, uncovering the fields evolution from its early days to its current situation. Our analysis is structured around the evolving detection architecture, evolving standardization of dataset, evolution of feature extraction, evolving performance evaluation metrics and other core systems and the optimizing techniques to obtain better results.