Multiple regression for bbox only in fastai v1

Here is another thread discussing this: How to predict multiple regressions from a model?

In a v1 framework, I have not found a straightforward way to predict multiple targets unless the data match the head pose dataset. It would be awesome to have an example case that is not coordinate-based, but multitasking. An example would be predicting dog height and weight from an image. Or a mixed-data type case where you predict class and a continuous variable, eg, breed and weight.

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