Labeled dataset containing 3k samples for training computer vision models to recognize textile materials(fabrics).
Fashion Forward: CNN-based Clothing Classifier for Automated Product Tagging A PyTorch implementation of a convolutional neural network to classify FashionMNIST images into 10 garment categories.
The primary goal of this project is to classify different types of necklines in fashion images using deep learning models.
This dataset aims to facilitate the development of AI models that can accurately recognize and classify over 30 common clothing patterns, enhancing online shopping experiences and supporting trend analysis.
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