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[D] Is there a SOTA model or standardized dataset with a focus on detection/classification of object *attributes*, not just object type?

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.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.