Meta Album ID | MNF.TEX_DTD |
---|---|
Domain ID | MNF |
Domain Name | Manufacturing |
Set Number | 1 |
Dataset ID | TEX_DTD |
Dataset Name | Textures-DTD |
Short Description | Textures dataset from Describable Textures Dataset |
Long Description | The Textures DTD dataset(https://www.robots.ox.ac.uk/~vgg/data/dtd/index.html) is a large textures dataset which consists of 5 640 images. The data is collected from Google and Flicker by the original authors of the paper 'Describing Textures in the Wild'. The data was annotated using Amazon Mechanical Turk. The data collection process is mentioned on the dataset overview page. For Meta-Album meta-dataset, this dataset is preprocessed by cropping the images to square images and then resizing them to 128x128 using Open-CV with an anti-aliasing filter. This dataset has 47 class labels. |
# Classes | 47 |
# Images | 5640 |
Keywords | textures, manufacturing |
Data Format | images |
Image size | 128x128 |
License (original data release) |
Open for research purposes |
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 | Describable Textures Dataset (DTD), University of Oxford, England |
Source URL |
https://www.robots.ox.ac.uk/~vgg/data/dtd/ |
Original Author | Mircea Cimpoi, Subhransu354Maji, Iasonas Kokkinos, Sammy Mohamed, Andrea Vedaldi |
Original contact | {mircea, vedaldi}@robots.ox.ac.uk |
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/ |
# 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)
@InProceedings{cimpoi14describing, Author = {M. Cimpoi and S. Maji and I. Kokkinos and S. Mohamed and and A. Vedaldi}, Title = {Describing Textures in the Wild}, Booktitle = {Proceedings of the {IEEE} Conf. on Computer Vision and Pattern Recognition ({CVPR})}, Year = {2014} }Download as bib
@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