The DEOE approach can be extended to handle dynamic environments with continuously evolving object categories by incorporating adaptive learning mechanisms. One way to achieve this is by implementing a continual learning framework that allows the model to adapt to new object categories over time. This can involve techniques such as incremental learning, where the model is updated with new data incrementally without forgetting previously learned information. Additionally, the model can be equipped with mechanisms to detect concept drift, enabling it to recognize when the object categories are changing and adjust its learning accordingly. By integrating these adaptive learning strategies, the DEOE approach can effectively handle dynamic environments with evolving object categories.