how I should label objects to detect them, if the object is larger than the image, e.g. I want to label a building, but in the picture is visible only part of the building (windows and doors, without roof). Or should I remove these pictures from my dataset?
Thank you!
In every object detection dataset I've seen, such objects will just have the label cover whatever is visible, so the bounding box will go up to the border of the image.
It really depends what you want your model to do if it sees an image like this. If you want it to be able to recognise partial buildings, then you should keep them in your dataset and label whatever is visible.