DAD-3DHeads: Dataset
DAD-3DHeads: Dataset
DAD-3DHeads: Dataset
The dataset is available upon request. Please fill in this form to get the access to the dataset.
The dataset is available upon request. Please fill in this form to get the access to the dataset.
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 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].
Dataset card
Dataset card
Dataset card
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.
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.
Annotation process
Annotation process
Annotation process
@InProceedings{dad3dheads, author = {Martyniuk, Tetiana and Kupyn, Orest and Kurlyak, Yana and Krashenyi, Igor and Matas, Ji\v{r}{\'\i} and Sharmanska, Viktoriia}, title = {DAD-3DHeads: A Large-Scale Dense, Accurate and Diverse Dataset for 3D Head Alignment From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20942-20952} }
@InProceedings{dad3dheads, author = {Martyniuk, Tetiana and Kupyn, Orest and Kurlyak, Yana and Krashenyi, Igor and Matas, Ji\v{r}{\'\i} and Sharmanska, Viktoriia}, title = {DAD-3DHeads: A Large-Scale Dense, Accurate and Diverse Dataset for 3D Head Alignment From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {20942-20952} }
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