Deep Learning Data Requirements: Addressing Common Misconceptions

Thank you for sharing your thoughts on the topic. I completely agree that there are already many annotated public datasets and trained models available, which can be utilized for deep learning-based solutions. Additionally, techniques like transfer learning, pseudolabeled datasets, and synthesized datasets can help overcome the issue of insufficient data. It is also true that deep learning models do not require a large amount of memory during inference, and they do not need to be fully retrained when new data is added. These are all important points to consider when discussing the necessity of data for deep learning-based solutions.