A Clothing Recommendation Dataset for Online Shopping
Kuan-Hsien Liu, Fei Wang, Tsung-Jung Liu · 2019
In this work, we constructed a clothing dataset which contains more than one hundred thousand images labeled with brand, category, color, material and price. In recent years, Deep Neural Network makes various of computer vision tasks, such as image retrieval, age estimation [6], [11] and multimedia quality assessment [5], [12], reach impressive performance. However, some problem comes, training data plays an important role in the result of the deep neural networks. Generally speaking, high quality images can lead to a better outcome, and the amount of training data has huge influence on the results. So, with the rise of neural networks, more people are committed to the establishment of a database. We collected hundreds of thousands of images with higher resolution than other clothing datasets, and we provide their corresponding brands and price as attributes. Finally, we compared our dataset with some other clothing datasets.