nutrify
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Create a way to generate images to boost inaccurate classes
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).
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