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DAD-3DHeads covers large variation in poses [2, 4, 9, 11, 14, 16, 18-20], expressions [3, 6, 7, 8, 15], occlusions [1-3, 8, 19], non-standard illumination conditions [6, 13, 14], low image quality [2, 4, 13].
DAD-3DHeads dataset consists of 44,898 images collected from various sources (37,840 in the training set, 4,312 in the validation set, and 2,746 in the test set).
The dataset is well-balanced over a wide range of poses, face expressions, and occlusions. The attribute labels are a valuable signal for subgroup analysis and for generalisation to in-the-wild deployment conditions.