The W3C RDF Primer could describe Shape rdfs:Class'es instead of People and their contact information rdfs:Property(s). An Object-Oriented Programming and Linked Data exercise: Arrange these Classes into a hierarchy, according to their features: Shape, Square, Rectangle, Triangle, Quadrilateral, Triangle.
Are there higher resolution test images for ML? Maybe something inanimate that can't be judged and thus can't go to heavem anyway.
sklearn.datasets.load_iris, load_digits, : https://scikit-learn.org/stable/datasets/toy_dataset.html
Sklearn.datasets sample images has an image of a flower but not a USA!: https://scikit-learn.org/stable/datasets/loading_other_datas...
The W3C RDF Primer could describe Shape rdfs:Class'es instead of People and their contact information rdfs:Property(s). An Object-Oriented Programming and Linked Data exercise: Arrange these Classes into a hierarchy, according to their features: Shape, Square, Rectangle, Triangle, Quadrilateral, Triangle.