| Stylized Meta Album ID | MNF.TEX_DTD |
|---|---|
| Domain ID | MNF |
| Domain Name | Manufacturing |
| Dataset ID | TEX_DTD |
| Dataset Name | Textures-DTD |
| Description | Textures dataset from Describable Textures Dataset |
| # Classes | 20 |
| # Images | 2400 |
| Keywords | textures, manufacturing |
| Data Format | images |
| Image size | 256x256 |
| License (original data release) |
Open for research purposes |
| License (Stylized Meta-Album data release) |
CC BY-NC 4.0 |
| License URL (Stylized 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 |
| Stylized Meta Album author | Romain Mussard |
| Created Date | 01 March 2024 |
| Contact Name | Ihsan Ullah |
| Contact Email | stylized-meta-album@chalearn.org |
| Contact URL | https://stylized-meta-album.github.io/ |
Note: From OpenML website, you can only download labels file. To download the complete dataset, use openml python api
# import openml import openml # download dataset with DATASET_ID. Replace DATASET_ID with OpenML ID dataset = openml.datasets.get_dataset(DATASET_ID, download_data=True, download_all_files=True) # display dataset info print(dataset.name)
Datasets are downloaded in openml cache directory. You can check it with this code:
# display openml cache directory
print(openml.config.get_cache_directory())
@inproceedings{stylized-meta-album-2024,
title={Stylized Meta-Album: Muti-domain computer vision meta-dataset},
author={Mussard, Romain and Gauffre, Aurélien and Ullah, Ihsan and Khuong, Thanh Gia Hieu and Amini, Massih-Reza and Hosoya, Lisheng Sun},
booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
url = {https://stylized-meta-album.github.io/},
year = {2024}
}
@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