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Let say I am training a model on specific single class and to reduce false positives can I add extra images without any labels in it like of background or something that the model will usually see.

@RizwanMunawar
@glenn-jocher
I have a few questions. Please answer them thoroughly. Thanks

1. Null images can be of anything yes? like if my task is of detecting a single class or multi class but for null image I should add an image in which that class / classes are not present right?
2. Is it necessary to add labels of the same name as of images (which do not contain any class that we are training on) and if yes should it be empty (nothing in the .txt file)?
3. Where should we add null images, in train dataset, or valid dataset, or can be added in both?
4. Can we add null images in every task, such as detection, segmentation, pose, etc..? and same format to follow as question 1?
5. Does YOLOv8 / v9 / v10 automatically ignores / removes null images from the dataset during training? If yes how can I set to not remove them and train the model including null images?
6. What does adding null images benefits for the model? performance? accuracy? what other advantages?
7. Any disadvantage or risk by adding null images? except for time?

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