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About
This is a preprocessed redistribution of AFIDs (OpenNeuro ds004470 + ds004471), which is released under the CC BY 4.0 license.
Dataset summary: 72 T1-weighted brain MR scans with 32 anatomical fiducial (AFID) landmarks each.
Contents of this repository:
Images/— 72 files
📝 Landmark annotations, visualization figures and the benchmark plan files live in 🔥MedVision🔥, where you can load the complete images and annotations from dataset configs.
Relation to the source dataset
| In the source | 72 T1-weighted MR scans (32 SNSX + 40 LHSCPD), 32 anatomical fiducials each |
| Excluded here | nothing — this is a complete mirror |
| In this repo | 72 Images |
Why -Lite? The suffix marks this as a derived redistribution rather than a copy of the source. These are preprocessed volumes — every case has been format-converted, geometry-normalised and reoriented to RAS+ — and for some sources cases or modalities are excluded as well (see the table above). Use it to reproduce MedVision, not as a substitute for the original release. See Preprocessing below for exactly what was changed.
Preprocessing
Images converted to 3D volumes in
nii.gzformat and standardized to RAS+ orientation.The 32 ground-truth fiducials per case were parsed from the
.fcsvfiles (# CoordinateSystem = 0, i.e. RAS world-mm) and converted to 0-based voxel indices in the RAS+ volume, then saved as JSON.One T1w volume is kept per subject (32 SNSX + 40 LHSCPD = 72 cases).
Landmarks
landmarks_map = {
"P1": "anterior commissure",
"P2": "posterior commissure",
"P3": "infracollicular sulcus",
"P4": "pontomesencephalic junction",
"P5": "superior interpeduncular fossa",
"P6": "right superior lateral mesencephalic sulcus",
"P7": "left superior lateral mesencephalic sulcus",
"P8": "right inferior lateral mesencephalic sulcus",
"P9": "left inferior lateral mesencephalic sulcus",
"P10": "culmen",
"P11": "intermammillary sulcus",
"P12": "right mammillary body",
"P13": "left mammillary body",
"P14": "pineal gland",
"P15": "right lateral ventricle at anterior commissure",
"P16": "left lateral ventricle at anterior commissure",
"P17": "right lateral ventricle at posterior commissure",
"P18": "left lateral ventricle at posterior commissure",
"P19": "genu of the corpus callosum",
"P20": "splenium of the corpus callosum",
"P21": "right anterolateral temporal horn",
"P22": "left anterolateral temporal horn",
"P23": "right superior anteromedial temporal horn",
"P24": "left superior anteromedial temporal horn",
"P25": "right inferior anteromedial temporal horn",
"P26": "left inferior anteromedial temporal horn",
"P27": "right indusium griseum origin",
"P28": "left indusium griseum origin",
"P29": "right ventral occipital horn",
"P30": "left ventral occipital horn",
"P31": "right olfactory sulcal fundus",
"P32": "left olfactory sulcal fundus"
}
News
[25 Jul, 2026] Initial release. This dataset is integrated into 🔥MedVision🔥, where you can use these config names to load data in python:
AFIDs_BiometricsFromLandmarks_Task01_Axial_TestAFIDs_BiometricsFromLandmarks_Task01_Axial_TrainAFIDs_BiometricsFromLandmarks_Task01_Sagittal_TestAFIDs_BiometricsFromLandmarks_Task01_Sagittal_Train
Data Usage Agreement
By using the dataset, you agree to the terms as follow.
- You must comply with the original
CC BY 4.0license terms of the source dataset. - You are recommended to refer to the source of this dataset in any publication:
https://huggingface.co/datasets/YongchengYAO/AFIDs-Lite - You must cite the original publication(s):
Official Release
For more information, please go to the official site: https://github.com/afids/afids-data
Download from Huggingface
# python
from huggingface_hub import snapshot_download
snapshot_download(repo_id="YongchengYAO/AFIDs-Lite", repo_type='dataset', local_dir="/your/local/folder")
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