Image Classification - single class per image
Here, each image is labeled with a class it belongs to. This is called single-label classification.
Image Classification - multiple classes per image
You may also want to specify more than one class for the image. This is called multi-label classification.
While in single-label classification, the model predicts one of the specified classes that has the highest probability, a multi-label model predicts all of the specified classes that were identified with some probability higher than set threshold.
Note: during the prediction process the optimal thresholds are set automatically, however they can be modified by user.