Here we provide the manual annotations (brain/eyes segmentations and poses) used to train and evaluate methods for head pose estimation from the publicly available dHCP1 fetal brain BOLD fMRI volumes. Specifically, we annotated the first frame in each time-series, resampled to 3mm isotropic voxels, for each subject.
The data is organized in the following structure:
├── training
│ ├── images
│ │ ├── subjectXXX.nii.gz
│ │ └── ...
│ ├── masks
│ │ ├── subjectXXX.nii.gz
│ │ └──… See the full description on the dataset page:
https://huggingface.co/datasets/ramyamut/dhcp_fmri_fetal_pose.
