Correct. This is the issue we faced.

Derived has so many meanings.

In this case, the transformations are the 0s and 1s (diagnoses labels) affecting a convolutional neural network to fit to these 0s and 1s and a set of network weights that result.

I suppose it would depend on the terms of the sale of the training data (if it was purchased) or how it was acquired (if it wasn't).

We did not purchase the training data, we licensed it. In retrospect it was clear that we had obtained the license to use the data to train a model, but not entirely clear whether we had licensed the rights to commercialize the model (e.g., sell the weights on our fairly generic neural network.)

That said, lots of things start getting confusing, when confusion means owners of the data might make millions off an acquisition.

In this case, it was medical data. The owners were technically the sovereign that licensed the medical data to us. But technically, the medical images had been read by independent doctors who only granted an upstream license to the sovereign to use their reads for medical diagnoses for patient welfare -- not to downstream license the reads to help someone else train a model to theoretically put doctors out of business.