Textures Dataset

Dataset details

Last updated: 15 Dec 2022
Meta Album ID MNF.TEX
Domain ID MNF
Domain Name Manufacturing
Set Number 0
Dataset ID TEX
Dataset Name Textures
Short Description Textures dataset from KTH-TIPS, Kylberg and UIUC
Long Description The original Textures dataset is a combination of 4 texture datasets: KTH-TIPS and KTH-TIPS 2 (https://www.csc.kth.se/cvap/databases/kth-tips/index.html), Kylberg Textures Dataset (http://www.cb.uu.se/~gustaf/texture/) and UIUC Textures Dataset. The data in all four datasets is collected in laboratory conditions, i.e., images were captured in a controlled environment with configurable brightness, luminosity, scale and angle. The KTH-TIPS dataset was collected by Mario Fritz and KTH-TIPS 2 dataset was collected by P. Mallikarjuna and Alireza Tavakoli Targhi, created in 2004 and 2006 respectively. Both of these datasets were prepared under the supervision of Eric Hayman and Barbara Caputo. The data for Kylberg Textures Dataset and UIUC Textures Dataset data was collected by the original authors of these datasets in September 2010 and August 2005 respectively. The Meta-Album Textures dataset is a preprocessed version of the original dataset (combination of 4 datasets). All the images are preprocessed by first cropping into perfect squared images and then resized into 128x128 with an anti-aliasing filter.
# Classes 64
# Images 8675
Keywords textures, manufacturing
Data Format images
Image size 128x128
License
(original data release)		 CC BY NC 4.0, public for research, cite paper to use dataset
License URL
(original data release)		 https://creativecommons.org/licenses/by-nc/4.0/
https://kylberg.org/wp-content/uploads/2020/05/KylbergTextureDocumentation-1.0.pdf
License
(Meta-Album data release)		 CC BY-NC 4.0
License URL
(Meta-Album data release)		 https://creativecommons.org/licenses/by-nc/4.0/
Source KTH-TIPS, Kylberg, UIUC
Source URL https://www.csc.kth.se/cvap/databases/kth-tips/index.html
https://www.cb.uu.se/~gustaf/texture/
Original Author Eric Hayman, Barbara Caputo, Mario Fritz, P. Mallikarjuna, Alireza Tavakoli Targhi, Jean Ponce, Gustaf Kylberg, Svetlana Lazebnik, Cordelia Schmid
Original contact KTH-TIPS: hayman@nada.kth.se, Kylberg: gustaf.kylberg@gmail.com, UIUC: Jean.Ponce@inria.fr
Meta Album author Ihsan Ullah
Created Date 01 March 2022
Contact Name Ihsan Ullah
Contact Email meta-album@chalearn.org
Contact URL https://meta-album.github.io/

Download Meta-data files

Dataset Info Datasheet

Download Dataset from OpenML

Dataset Version OpenML ID
Micro 44244 Download
Mini 44288 Download
Extended 44322 Download

Code to download dataset using OpenML API

      # import openml
      import openml
  
      # download dataset with DATASET_ID. DATASET_ID is OpenML ID
      dataset = openml.datasets.get_dataset(DATASET_ID)
  
      # display dataset info
      print(dataset.name)

Sample Images

Cite this dataset 

@inproceedings{Fritz2004THEKD,
  title={THE KTH-TIPS database},
  author={Mario Fritz and E. Hayman and B. Caputo and J. Eklundh},
  year={2004},
  url = {https://www.csc.kth.se/cvap/databases/kth-tips/index.html}
}

@inproceedings{Mallikarjuna2006THEK2,
  title={THE KTH-TIPS 2 database},
  author={P. Mallikarjuna and Alireza Tavakoli Targhi and Mario Fritz and E. Hayman and B. Caputo and J. Eklundh},
  year={2006},
  url = {https://www.csc.kth.se/cvap/databases/kth-tips/index.html}
}

@TECHREPORT{Kylberg2011c,
  author = {Gustaf Kylberg},
  title = {The Kylberg Texture Dataset v. 1.0},
  institution = {Centre for Image Analysis, Swedish University of Agricultural Sciences
	and Uppsala University, Uppsala, Sweden},
  year = {2011},
  type = {External report (Blue series)},
  number = {35},
  month = {September},
  url = {http://www.cb.uu.se/~gustaf/texture/}
}

@article{lazebnik:inria-00548530,
  TITLE = {{A sparse texture representation using local affine regions}},
  AUTHOR = {Lazebnik, Svetlana and Schmid, Cordelia and Ponce, Jean},
  URL = {https://hal.inria.fr/inria-00548530},
  JOURNAL = {{IEEE Transactions on Pattern Analysis and Machine Intelligence}},
  PUBLISHER = {{Institute of Electrical and Electronics Engineers}},
  VOLUME = {27},
  NUMBER = {8},
  PAGES = {1265--1278},
  YEAR = {2005},
  MONTH = Aug,
  DOI = {10.1109/TPAMI.2005.151},
  KEYWORDS = {Index Terms- Image processing and computer vision ; feature measurement ; pattern recognition ; texture},
  PDF = {https://hal.inria.fr/inria-00548530/file/lana_pami_final.pdf},
  HAL_ID = {inria-00548530},
  HAL_VERSION = {v1},
}
Download as bib

Cite Meta-Album

  @inproceedings{meta-album-2022,
    title={Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification},
    author={Ullah, Ihsan and Carrion, Dustin and Escalera, Sergio and Guyon, Isabelle M and Huisman, Mike and Mohr, Felix and van Rijn, Jan N and Sun, Haozhe and Vanschoren, Joaquin and Vu, Phan Anh},
    booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    url = {https://meta-album.github.io/},
    year = {2022}
  }
Download as bib