Oct 26, 2020 · We trained and tested these models on the Fashion-MNIST dataset. By comparing the classification accuracy and the training time, the results ...

The results show that the pure convolutional neural network is a very effective method for clothing images classification, but the complex structure of VGG ...

A highly descriptive research work of this approach is the "comparison of different models for clothing images classification" [41] , that compared three ...

Targeting small and medium-sized clothing companies or merchants, it compares traditional machine learning and deep learning models to determine suitable models ...

For the classification of dressed clothing images, different kinds of deep learning models were mainly used for experiments and compared with traditional ...

Figure 4.5: Comparison of average scores between the different models, image quality, and ground truth labels. Error bars represent the 95% confidence.

Oct 22, 2024 · This paper divides clothing images into two groups: pure clothing images and dressed clothing images. Targeting small and medium-sized clothing ...

Comparison of models for the clothing type classification task. We see that our CNN models outperform the baseline models in Bossard et al. for the ACS ...

This paper divides clothing images into two groups: pure clothing images and dressed clothing images. Targeting small and medium-sized clothing companies or ...

Jun 30, 2024 · The results show about 1.77% improvement in accuracy as compared to the results recorded by other models that were trained using the same ...