Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. My model: Download from Google Drive Deep Feature: ResNet50 - (Linear 1024 to 512) - (Linear 512 to 20), the 512-dim vector is regarded as images' identical features.
The paper Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images is on arXiv. Each example is a 28x28 grayscale image, associated with a …
Create Dataset # For images in fashion_data, apply selective search algo to … The paper Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images is on arXiv. We contribute DeepFashion database, a large-scale clothes database, which has several appealing properties: First, DeepFashion contains over 800,000 diverse fashion images ranging from well-posed shop images to unconstrained consumer photos.
Second, DeepFashion is annotated with rich information of clothing items. The models will be saved to DATASET_BASE/models.