Deep learning fundamentally requires a large amount of data for effective training.Additionally, to solve the chronic problem of overfitting in deep learning, it needs sufficient high-quality data.However, increasing the amount of data requires significant cost and time, and in some cases, it can be difficult to even collect or process the data.To address this issue, various Data Augmentation te..
