I trained my model on some set of labeled images, where I have ‘label_1’, ‘label_2’, ‘label_3’
Then, I’m trying to predict labels of unknown images with features = model.predict(images)
but here I only obtain feature maps, not labels themselves. How can I do label = decode_predictions(features) to get actual name of labels?