matin-ghorbani/Fashion-Mnist-GAN
Implement a GAN for Fashion Mnist dataset to generate digits
This project helps generate new, realistic clothing images, similar to those found in fashion catalogs. You input a trained model, and it outputs a stream of diverse images of apparel like shirts, trousers, and shoes. This is useful for fashion designers, marketers, or researchers who need to create a large variety of synthetic fashion product images.
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Use this if you need to quickly produce a collection of new, synthetic fashion images for design inspiration, dataset augmentation, or marketing mock-ups.
Not ideal if you need to analyze existing fashion images or classify specific garment types, as this tool focuses on image generation rather than analysis.
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Language
Jupyter Notebook
License
MIT
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Last pushed
May 16, 2024
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