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epfl-vilab-modus/MODUS-15Modality

MODUS — 15-Modality Aligned Dataset MODUS is a large-scale, pixel-aligned 15-modality dataset for any-to-any multimodal training. Every sample aligns 15 modalities covering appearance, geometry, structure, segmentation, detection, text, and learned features. Paper: https://huggingface.co/papers/2607.25948 Code: https://github.com/EPFL-VILAB/Modus Modalities Group Modalities Appearance rgb, caption Geometry depth, normal Structure canny, sam_edge… See the full description on the dataset page: https://huggingface.co/datasets/epfl-vilab-modus/MODUS-15Modality.

Author / organizationepfl-vilab-modus
License (as declared)other
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Created4 July 2026
Last updated at source29 July 2026
multimodalany-to-anydepthsurface-normalssegmentationdetection
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