{"url":"/dataset/oasis","name":"OASIS","full_name":"Open Annotations of Single Image Surfaces","description_markdown":"A dataset for single-image 3D in the wild consisting of annotations of detailed 3D geometry for 140,000 images.\r\n\r\nSource: [OASIS: A Large-Scale Dataset for Single Image 3D in the Wild](/paper/oasis-a-large-scale-dataset-for-single-image-1)","description_withheld":null,"homepage":"https://oasis.cs.princeton.edu/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/oasis-a-large-scale-dataset-for-single-image-1","title":"OASIS: A Large-Scale Dataset for Single Image 3D in the Wild","first_author":"Weifeng Chen","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Graph Classification","url":"/task/graph-classification","datasets_with_task":"/datasets/task/graph-classification"},{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"},{"name":"Medical Image Classification","url":"/task/medical-image-classification","datasets_with_task":"/datasets/task/medical-image-classification"},{"name":"Medical Image Registration","url":"/task/medical-image-registration","datasets_with_task":"/datasets/task/medical-image-registration"}],"languages":[],"variants":["OASIS","OASIS-1","OASIS 3"],"data_loaders":[],"num_papers_in_archive":28,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/medical-image-registration-on-oasis","task":"Medical Image Registration","dataset_variant":"OASIS","rows":8,"metrics":["DSC","val dsc"],"first_row_in_archive_order":{"model":"TransMorph","paper":"/paper/transmorph-transformer-for-unsupervised","metrics":{"DSC":"0.818","val dsc":"85.8"},"code_links":[{"title":"junyuchen245/TransMorph_Transformer_for_Medical_Image_Registration","url":"https://github.com/junyuchen245/TransMorph_Transformer_for_Medical_Image_Registration"},{"title":"rohitrango/dio","url":"https://github.com/rohitrango/dio"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/graph-classification-on-oasis","task":"Graph Classification","dataset_variant":"OASIS","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"NeuroPath","paper":"/paper/neuropath-a-neural-pathway-transformer-for","metrics":{"Accuracy":"90.01"},"code_links":[{"title":"Chrisa142857/neuro_detour","url":"https://github.com/Chrisa142857/neuro_detour"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/medical-image-classification-on-oasis-3","task":"Medical Image Classification","dataset_variant":"OASIS 3","rows":1,"metrics":["AUC","Accuracy","Sensitivity","Specificity"],"first_row_in_archive_order":{"model":"3D CNN","paper":"/paper/detection-of-dementia-through-3d","metrics":{"AUC":"87%","Accuracy":"83%","Sensitivity":"0.86","Specificity":"86"},"code_links":[{"title":"espositoandrea/Detecting-Alzheimer-Using-Amiloyd-PET-Scans","url":"https://github.com/espositoandrea/Detecting-Alzheimer-Using-Amiloyd-PET-Scans"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/neuropath-a-neural-pathway-transformer-for","title":"NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes","date":"2024-09-26","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":2,"samples_unverified":1,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/efficientmorph-parameter-efficient","title":"EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration","date":"2024-03-16","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/optron-better-medical-image-registration-via","title":"On-the-Fly Guidance Training for Medical Image Registration","date":"2023-08-29","rows_on_this_dataset":3,"code_links":2,"syntology":null},{"paper":"/paper/fourier-net-fast-image-registration-with-band","title":"Fourier-Net: Fast Image Registration with Band-limited Deformation","date":"2022-11-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/detection-of-dementia-through-3d","title":"Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET","date":"2022-01-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/transmorph-transformer-for-unsupervised","title":"TransMorph: Transformer for unsupervised medical image registration","date":"2021-11-19","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/vit-v-net-vision-transformer-for-unsupervised","title":"ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration","date":"2021-04-13","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":4,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/voxelmorph-a-learning-framework-for","title":"VoxelMorph: A Learning Framework for Deformable Medical Image Registration","date":"2018-09-14","rows_on_this_dataset":1,"code_links":9,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":13,"samples_ran":8,"samples_unverified":5,"pointer_only_for_licence":3,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}