{"url":"/dataset/matsim","name":"MatSim","full_name":"MatSim dataset for materials similarity recognition from images","description_markdown":"**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.\r\n\r\nSource: [One-shot recognition of any material anywhere using contrastive learning with physics-based rendering](https://arxiv.org/pdf/2212.00648v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2212.00648v1.pdf](https://arxiv.org/pdf/2212.00648v1.pdf)","description_withheld":null,"homepage":"https://github.com/sagieppel/MatSim-Dataset","introduced_date":"2022-12-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/one-shot-recognition-of-any-material-anywhere","title":"One-shot recognition of any material anywhere using contrastive learning with physics-based rendering","first_author":"Manuel S. Drehwald","url":null},"license":{"name":"MIT","url":"https://zenodo.org/record/7390166#.Y5ku6mHMJH4"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Contrastive Learning","url":"/task/contrastive-learning","datasets_with_task":"/datasets/task/contrastive-learning"},{"name":"One-Shot Learning","url":"/task/one-shot-learning","datasets_with_task":"/datasets/task/one-shot-learning"},{"name":"Material Recognition","url":"/task/material-recognition","datasets_with_task":"/datasets/task/material-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MatSim"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"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."}