Datasets › KTH-TIPS2

KTH-TIPS2

9 Jun 2006 archive 2025-07-28

The KTH-TIPS (Textures under varying Illumination, Pose and Scale) image database was created to extend the CUReT database in two directions, by providing variations in scale as well as pose and illumination, and by imaging other samples of a subset of its materials in different settings.

The KTH-TIPS2 databases took this a step further by imaging 4 different samples of 11 materials, each under varying pose, illumination and scale.

For more information about the databases, please view the documentation. The databases may be downloaded here.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Image Classification KTH-TIPS2 RADAM (ConvNeXt-XL) Accuracy (%) 94.4 RADAM: Texture Recognition through Randomized Aggregated... scabini/RADAM 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 4. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps 1 1 8 Mar 2023 not harvested

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • KTH-TIPS2

1 variant name, as the archive lists them.

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