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Material Recognition datasets
archive 2025-07-28
11 datasets carry the task tag "Material Recognition" (the task itself: Material Recognition), ordered by the archive's paper count. Page 1 of 1: 11 shown of 11. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Material Recognition datasets 1–11 of 11
MINC (Materials in Context Database)
MINC is a large-scale, open dataset of materials in the wild.
56 papers · 0 benchmarks
MCubeS (Multimodal Material Segmentation Dataset)
Multimodal material segmentation (MCubeS) dataset contains 500 sets of images from 42 street scenes.
19 papers · 1 benchmark
LabPics (LabPics Dataset for computer vision for autonomous chemistry labs and medical labs)
LabPics Chemistry Dataset Dataset for computer vision for materials segmentation and classification in chemistry labs, medical labs, and any setting where materials are handled inside containers.
5 papers · 0 benchmarks
Large Shape and Texture dataset (LAS&T) is a giant dataset of shapes and textures for tasks of visual shapes and textures identification and retrieval from single image.
1 paper · 0 benchmarks
MatSeg (Dataset for Zero-Shot Material States Segmentation)
MatSeg Dataset for Zero-Shot Material States Segmentation: The dataset contains large-scale synthetic images for training data and highly diverse real-world image benchmarks for testing.
1 paper · 0 benchmarks
MatSim (MatSim dataset for materials similarity recognition from images)
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…
1 paper · 0 benchmarks
Matador (Matador: A Material Image Dataset)
The Matador dataset is a material image dataset with hierarchical labels.
1 paper · 0 benchmarks
SpectroVision is a dataset of 14,400 high resolution texture images and spectral measurements collected from a PR2 mobile manipulator that interacted with 144 household objects from eight material categories.
1 paper · 0 benchmarks
The dataset contains procedurally generated images of transparent vessels containing liquid and objects .
1 paper · 1 benchmark
DMS (Dense Material Segmentation Dataset)
The Dense Material Segmentation Dataset (DMS) consists of 3 million polygon labels of material categories (metal, wood, glass, etc) for 44 thousand RGB images.
0 papers · 0 benchmarks
OpenSurfaces is a large database of annotated surfaces created from real-world consumer photographs.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.