Abhradipta/Generation-Of-Synthetic-Images-With-DCGANs-In-Keras-From-Fashion-MNIST-Dataset
Generation Of Synthetic Images From Fashion MNIST Dataset With DCGANs In Keras.
This project helps you create new, realistic-looking images of clothing items, similar to those found in fashion catalogs. You input a collection of existing fashion product images, and it outputs an entirely new set of synthetic images that capture the style and appearance of the originals. This is ideal for designers, marketers, or data analysts who need to expand their visual datasets without real-world photography.
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Use this if you need to generate a large volume of artificial fashion images that closely resemble real product photos for various applications.
Not ideal if you need to perform complex image manipulations, such as object detection or image segmentation, on existing images.
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Sep 09, 2020
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