Randomly sampled examples of false positives from the test set. False positives are not yet inspected radio sources for which the model-predicted label is ‘AGN remnant candidate’. False positives indicate that our trained model cannot distinguish these sources from the sources labelled ‘AGN remnant candidate’ during the initial visual inspection. Therefore, these false positives are more likely to be labelled ‘AGN remnant candidate’ upon subsequent visual inspection.