Hi, pretty new to computer vision here. I’ve seen a lot of standardized datasets for CV such as MNIST, CIFAR-10, ImageNet, etc. ImageNet in particular stood out to me because of how specific a lot of the image classifications were, such as “pug” or “dalmation”. However, is there a model out there which focuses on classifying attributes of the object e.g. dog color, or a standardized dataset that would enable that analysis?

Pointing me towards the relevant literature would be really appreciated! I’ve done my Googling but I think I might not know the specific terms used in this domain to describe stuff like this, because I keep running into generic object classification and detection without the object attributes.