Randomly picked examples of true negatives from the test set. True negatives are yet-to-be inspected radio sources for which the model-predicted label is ‘non-candidate’. As our trained model is able to distinguish these sources from the sources that were labelled ‘AGN remnant candidate’ during initial visual inspection, these sources are less likely to be labelled ‘AGN remnant candidate’ upon subsequent visual inspection.