Computer vision is used in many sectors for its ability to monitor and analyze visual data in ways that extend past what human vision can do. This includes the medical, agricultural, and industrial sectors where, for example, early tumor detection, early pest detection and fine quality control can save both money and, most importantly, lives. For computer vision one of the most challenging functions is camouflage object detection (COD), the ability to recognize, identify and analyse an object in an image or video that is difficult to differentiate from its background. Since 2023 there has been a surge in research on COD in conjunction with the use of deep learning, a type of machine learning. This has created a large pool of research that has not yet been surveyed. To address this a research group at Duke University and Tsinghua University has undertaken an extensive review of the COD literature to catalogue, review and analyze the current state of the field.