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Create a way to generate images to boost inaccurate classes

Open mrdbourke opened this issue 2 years ago • 1 comments

Image generation is getting very good.

For samples where gathering images is hard, could just generate them on the fly.

This blog post showed good results with generated images: https://blog.ml6.eu/using-synthetic-data-to-boost-the-performance-of-your-object-detection-model-351a7f2171e2

Things to note:

  • Be sure to tag generated images with image_source: "generated" so I can run experiments on generated/not generated.
  • Only add generated images to training data, evaluate on real-world, taken with phone images (similar to Tesla's training in simulation but testing in real-world).

mrdbourke avatar Jan 31 '23 01:01 mrdbourke

Good Greetings sir i would like to work on this could my approach would be to use GANS i will generated images food related and save them in a folder name "generated" i will store these images on cloud (AWS) but i can even use other platform to store them , but i would need a little guidance from you sir Thank you

SahilJain8 avatar Apr 12 '23 08:04 SahilJain8