Question

A logistics company has trained an ML model that classifies package damage from photos. The model is now deployed, and every time a warehouse worker uploads a new photo, the system returns a damage/no-damage prediction within a second. In ML terminology, what is happening when the model generates a prediction for each newly uploaded photo?

Accepted Answer

Inferencing, because the trained model is applying learned patterns to new, unseen data

Answer

Training, because the model processes new photos and updates its internal parameters

Answer

Feature engineering, because the model extracts new attributes from each photo

Answer

Data labeling, because each photo receives a damage or no-damage tag