I'm looking for a solution to detect different moods/styles expressed by an image. Unfortunately, there is no multi-labeled dataset for this task.
The scenario of defining a multi-label classification model based on single labeled data doesn't seem too absurd to me but still I couldn't find any publications or other sources addressing this problem.
So I'm very thankful for any hint how scenarios like this could be tackled (e.g. deriving a multi-labeled dataset from available single label datasets in a weakly supervised manner).