The starting point of machine learning app development is a dataset, and the more data, the better result. Through obtaining a big amount of data, the model becomes more accurate in predictions. However, in the case of few-shot learning (FSL), we require almost the same accuracy with less data. This approach eliminates high model training costs that are needed to collect and label data.