datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
objaverse-1k
DX.GL Objaverse-1K: Dense Multi-View Datasets for 3D Vision
1026 objects × 196 views × 1024x1024 resolution × 6 modalities — ready for nerfstudio out of the box.
Dense multi-view datasets rendered from curated Objaverse 3D models via DX.GL. Each object includes calibrated camera poses, depth maps (8-bit + 16-bit), normal maps, binary masks, and point clouds — suitable for novel view synthesis, 3D reconstruction, monocular depth/normal estimation, segmentation, and more.… See the full description on the dataset page: https://huggingface.co/datasets/dxgl/objaverse-1k.GRAZPEDWRI-DX_SMALLsprite-dx-data
SpriteDX — Sprite Matting and Animation Annotations
Explore sprite frames with matching mattes, foreground images, and transparent cutouts; inspect human annotations for animation loops and shot boundaries. This collection comes from experiments on the SpriteDX project by Sprited.
Start with the matting subset in the viewer above. Each row shows the original frame and its three paired representations. Use the subset selector for loops or scene_boundaries.
Subset
Rows
What… See the full description on the dataset page: https://huggingface.co/datasets/sprited/sprite-dx-data.grazpedwri_dxfood-dataset-cleaned__04012026Dxzmendeley_knee_dxa
🦴 Knee X-ray Osteoporosis Dataset (Processed Derivative of Mendeley fxjm8fb6mw.2)
Original Source Dataset: Knee X-ray Osteoporosis DatabasePublished: 27 August 2021Version: 2DOI: 10.17632/fxjm8fb6mw.2Contributors: Insha Majeed Wani, Sakshi Arora
This Hugging Face dataset is a processed and reformatted derivative of the publicly released Knee X-ray Osteoporosis Database on Mendeley Data. It combines knee X-ray images with tabular clinical, demographic, lifestyle, and bone health… See the full description on the dataset page: https://huggingface.co/datasets/sandeep-shaw10/mendeley_knee_dxa.lung-pet-ct-dxfiltered_blueteaming_datasetosworld-gimp-taskblue-unsafe-image-safe-textfood-dataset-cleaned_04042026food-dataset-cleaned_04012026_KBtwitter-zhishimashulove-2026.03.20-2034940867048612317-DxzyLSLeb6HCRI0s-part1ffhq512-captionds-handdrawnds-handdrawn-phase-onetwitter-JiaoFu99-2026.03.11-2031646811417620603-4BExzlBX_43U-DXA-part1ds-handdrawn-cropfood-dataset-cleanedfood-dataset-cleaned_033026_KBDxtds-handdrawn-phase-twotwitter-Daiba01103-2026.01.04-2007860811885134241-DXUWsJKvCCrCw-49-part1twitter-JosDavy1-2026.02.22-2025479500797211031-DXxsv84D-ZxY3rl4-part1twitter-M0i3i4-2026.02.24-2026211519281680861-DxScsYygDlwd7Y0N-part1twitter-GreenDog_520-2026.03.13-2032272872983707894-pkYd45UZE_DxGgbW-part1twitter-Txcat2025-2025.12.01-1995528567610831167-3vel7xhdkl-dXAzj-part1