Steganography is the art of hiding a message within another message, and it has been used for centuries to protect sensitive information. Steganography is a critical tool for ensuring the confidentiality and integrity of information in various fields, including military, business, and social media. Several steganography techniques have been proposed in the literature, including traditional, machine learning, and deep learning-based approaches. The utilization of machine and deep learning techniques enhances the capabilities of steganography concealment methods, including the application of object detection. Despite the progress made in steganography research, there is still a lack of comprehensive studies that compare the performance of different object detection techniques for steganography. This study aims to fill this knowledge gap by providing a comprehensive review of steganography techniques based on object detection. The aim of this study is to provide a comprehensive review of steganography techniques based on object detection and to identify the most effective techniques.