Datasets › MatSim

MatSim (MatSim dataset for materials similarity recognition from images)

Introduced by Manuel S. Drehwald et al. in One-shot recognition of any material anywhere using contrastive learning with physics-based rendering1 Dec 2022 archive 2025-07-28

MatSim is a synthetic dataset, and natural image benchmark for computer vision-based recognition of similarities and transitions between materials and textures, focusing on identifying any material under any conditions using one or a few examples (one-shot learning), including materials states and subclasses.

Source: One-shot recognition of any material anywhere using contrastive learning with physics-based rendering

Image Source: https://arxiv.org/pdf/2212.00648v1.pdf

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Contrastive Learning One-Shot Learning Material Recognition

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

English

Variants archive 2025-07-28

MatSim

1 variant name, as the archive lists them.

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