| Summary: | 碩士 === 國立虎尾科技大學 === 資訊工程系碩士班 === 107 === Convolutional Neural Network (CNN) has demonstrated great efficiency in image classification tasks. In this research, CNN is employed with multi-label classification to extract features from clothing images and classify clothing types and colors. In our method, we first develop a neural network for types and colors separately then combine into a multi-output model to identify them. Then, we evaluate our network by accuracy, precision, recall and f1-score. The experimental results show that the proposed method achieves practical performance in classify precision.
|
|---|
