Classification: classifies an image. Predicts label probabilities; the image contains or represents (a) particular type(s) of feature(s). For example a tree or a solar panel.
1.
BBox detection: detects several features in an image, including the probability it is a particular feature and where it is located.
Notes
Trained Neural Networks can override the default value of this attribute, by specifying it in the meta data using the INFERENCE_MODE attribute name as its key.