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Object detection is the process of using a camera to track an object or a group of objects over time. It has numerous applications like human-computer interactions (HCI), security and surveillance, bioinspired approach, traffic control, and public areas such as airports, subway stations, and event centres. This application has prompted an extensive study in the field of computer vision for more than the last decade now. Visual recognition which includes picture categorization, localization, and detection, is at the heart of all of these applications and has gathered a lot of research attention. These visual identification algorithms have achieved extraordinary performance thanks to considerable advancements in neural networks, particularly deep learning (DL). Despite all successes recorded in object detection through the use of DL models, the experimental-based approach to investigate the performance of DL models for …