False positive buildings in the data set for Sweden - Gothenburg example with 6913 examples

In the dataset for Sweden I find so many false positives in the Microsoft data set so that it becomes difficult to use without manual inspection. As a test I ran a comparison on the data for the city of Gothenburg. I did a comparison of the Microsoft building with the official data from the city of the buildings. I added a buffer of 10 meters from the real buildings from the city data and kept buildings from the MLBuildings footprint that did not touch these buffers. The result left me with 6913 "buildings". Some of them are probably buildings, but the vast majority of them are false positives. I have ziped a .gpkg file with my false positives in the post as reference. But some examples are also presented with images below.

So what are they then?

It is a combination of things one can understand, like containers in the harbour. Cars parked on farms. Boats in the harbour.

At: 57.692740,11.841055

At: 57.6920724,11.8009287

But there are also quite strange things like bare rock by the ocean.

At 57.7334580,11.7445517

At 57.7428883,11.7393247

Cars on the road?

At: 57.8011746,11.9566407

Forrest:

At: 57.8025395,11.9673369

Running track:

At 57.6783985,11.9391418

gbg_false-positives.zip

Start by reviewing the attached gbg_false-positives.zip alongside the Gothenburg official building data and the coordinates and images in the report. The issue does not identify a code entry point or define a fix; completion would require an agreed way to investigate and reduce the reported false positives.