You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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).
The text was updated successfully, but these errors were encountered:
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
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:
image_source: "generated"
so I can run experiments on generated/not generated.The text was updated successfully, but these errors were encountered: