Penguins_object_detection.ipynb

Hello,
I am training also for a single class but the obj_loss keeps going up. Do you know why? what should i do?

In addition, I am not sure I understand the correlogram images. Any clue why this look like this? I am trying to detect an specific type of flower.

where is all the data now? I'm trying to reproduce this and there is no images nor .jaml file

Thanks for this tutorial!
Do the input images need to have the expected size (1280x1280)? If they are a different size, will they be rescaled?

Hi @eribnick,
I'm glad you found the tutorial helpful. The detector was optimized for that specific input size, but you can use any other input size. The images are rescaled before entering the network. You can choose the image size to which you want to rescale your images using the --img parameter.
Good luck!

Changes

Hello @Lihi-Gur-Arie, thanks for the tutorial it helped me understand, how to use yolo. One thing I'd like to understand better would be, let's say I have 5000 images of same class, do I need to manually label all 5k images, or labeling let's say 10% is enough? ( I know there are other factors which can effect that percentage, I just want to know if it's doable with 10% or not)

Hello @Lihi-Gur-Arie, Thank you very much for this tutorial.
Could you please provide some information about the sizes of the training, validation and testing sets?
Thanks again, Good Luck!