The PhotoBook Dataset:Building Common Ground through Visually-Grounded Dialogue
Table 3: Results for the target images in the test set.
['[BOLD] Model', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1']
Every candidate image contributes individually to the scores, i.e., the task is not treated as multi-label for evaluation purposes. Random baseline scores are obtained by taking the average of 10 runs with a model that predicts targets and non-targets randomly for the images in the test set.