Has there been any talk about teams creating and/or using high-quality annotations for image training data? So that for example an image of person is not just captioned with facial expression, race and general age but with much more - country, income, marital status, health status, 'big-five' taxonomy and so on.
Another example - an image of a tree on a hill with descriptors of exact geolocation, age, altitude, shade/sunlight position.
edit: okay, found something - 'Civilian American European Surface Anthropometry Resource' datased.
disibio1991 t1_it9epik wrote
Reply to [D] Simple Questions Thread by AutoModerator
Has there been any talk about teams creating and/or using high-quality annotations for image training data? So that for example an image of person is not just captioned with facial expression, race and general age but with much more - country, income, marital status, health status, 'big-five' taxonomy and so on.
Another example - an image of a tree on a hill with descriptors of exact geolocation, age, altitude, shade/sunlight position.
edit: okay, found something - 'Civilian American European Surface Anthropometry Resource' datased.