Generate synthetic data with Stable Diffusion to augment computer vision datasets

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Building image datasets is hard work. Instead of scraping, cleaning and labeling images, why not generate them directly with a Stable Diffusion model? In this video, I show you how to generate new images with a Stable Diffusion model and the diffusers library, in order to augment an image classification dataset. Then, I add the new images to the original dataset, and push the augmented dataset to the Hugging Face hub. Finally, I fine-tune an existing model on the augmented dataset.

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  1. Julien Simon
  2. machine learning
  3. deep learning
  4. generative ai
  5. stable diffusion
  6. computer vision
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Комментарии
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Amother great way to use stable diffusion !

billykotsos
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please show how to do style transfer to use Stable Diffusion to take computer generated images (say from a computer game or Unity) and paint it in a realistic way.
This way synthetic data generated in an game engine could be better adapter to real world images

robosergTV
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Can we also use stable diffusion to generate more images of a particular class? From the existing dataset images

nehacool