help me respond to the following revievers commentsThe claim about the necessity of huge amount of data for deep learning-based solutions is misleading; there are many already annotated public dataset

Thank you for your feedback. You make valid points about the availability of pre-annotated datasets and trained models. Transfer learning, pseudolabeling, and synthesized datasets are also effective ways to overcome the issue of limited data. Additionally, you are correct that the memory requirements during inference are typically lower than during training and that models can be updated with new data without needing to be fully retrained. I appreciate your input and will keep these factors in mind when discussing the benefits and limitations of deep learning-based solutions