Transfer Learning Based Bottle Recognition Algorithm

Abstract

This report explores transfer learning-based bottle recognition algorithms, aiming to improve the
performance of bottle recognition tasks by utilizing pre trained model knowledge on large-scale datasets. We
adopt the idea of transfer learning and apply deep learning models trained on image classification tasks to bottle
recognition tasks, achieving more efficient feature extraction and model training.