Can anyone give a real life example of supervised learning and unsupervised learning? [closed]

Supervised learning:

• You get a bunch of photos with information about what is on them and then you train a model to recognize new photos.
• You have a bunch of molecules and information about which are drugs and you train a model to answer whether a new molecule is also a drug.

Unsupervised learning:

• You have a bunch of photos of 6 people but without information about who is on which one and you want to divide this dataset into 6 piles, each with the photos of one individual.
• You have molecules, part of them are drugs and part are not but you do not know which are which and you want the algorithm to discover the drugs.