https://www.kaggle.com/datasets/paramaggarwal/fashion-product-images-small YangSN 2枚 CC0 图像分类多标签分类计算机视觉 1 8 2024-10-16 详情 相关项目 评论(0) 创建项目 文件列表 myntradataset.zip myntradataset.zip (284.55M) 下载 File Name Size Update Time myntradataset/images/10000.jpg -1 20...
However, one limitation of this dataset is that, each image has only one class-label associated with it. In real world applications, each clothing item will have multiple attributes, which motivates the need for Multi-Conditional GANs. Fashion Product Images Dataset We first trained a standard ...
FashionMNIST A small MNIST-like fashion product image dataset Originator:Han Xiao and Kashif Rasul and Roland Vollgraf 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. Each example is a 28x28 gray...
Fashion Tagger uses the Fashion Product Images Dataset from Kaggle, which contains over 44,000 fashion product images with detailed labels such as category, color, and season. This dataset is crucial for training our AI model to accurately predict fashion item attributes. Dataset Source: Fashion Pr...
Second, the fashion image dataset benefits clothing design automation. Clothing is considered a high‐involvement product, and it has been suggested to be open to collecting data from several different sources to meet consumers' specific tastes (Solomon, 1986). In this paper, we established the ...
Our approach is tested on the publicly available Fashion dataset. Initialization strategies using transfer learning from larger product databases are presented. Combined with more traditional content-based recommendation systems, our framework can help to increase robustness and performance, for example, by...
Fashion-MNISTis a dataset ofZalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. We intendFashion-MNISTto serve as a directdrop-in replacementfor the...
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. Each example is a 28x28 grayscale image, associated with a label from 10 classes. We intend Fashion-MNIST to serve as a direct drop-in replacement...
Bhatnagar, B.L., Tiwari, G., Theobalt, C., Pons-Moll, G.: Multi-garment net: learning to dress 3D people from images. In: IEEE International Conference on Computer Vision (ICCV). IEEE (2019) Google Scholar Bogo, F., Romero, J., Loper, M., Black, M.J.: FAUST: dataset and ...
For instance, multiple images in the Fash- ionIQ dataset can match a particular query, but only one of them is labeled as the ground-truth. An important property of a good multi-turn system is that performance should be robust to the length of the his- toric...