Unbalanced data in multiple object detection

Balancing a mutli-label dataset is a bit tricky, as a simple weighted sampling might even increase the imbalance, e.g. if the majority classes are often associated with the oversampled minority classes.

There are a few approaches, such as SCUMBLE, REMEDIAL, MLSOL, MLSMOTE etc.

I don’t know, what the current state of the art is, but I’m sure @rasbt would know. :wink:

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