| Stylized Meta Album ID | LR_AM.DOG_STY |
|---|---|
| Domain ID | LR_AM |
| Domain Name | Large Aninamls |
| Dataset ID | DOG_STY |
| Dataset Name | Dogs Stylized |
| Description | Dogs dataset with different breeds of dogs (stylized) |
| # Classes | 400 |
| # Images | 84880 |
| Keywords | dogs, animals |
| Data Format | images |
| Image size | 256x256 |
| License (original data release) |
Cite to use dataset, open for research |
| 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 | Stanford Dogs Dataset |
| Source URL |
http://vision.stanford.edu/aditya86/ImageNetDogs/ |
| Original Author | Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao, Li Fei-Fei |
| Original contact | aditya86@cs.stanford.edu |
| Stylized Meta Album author | Romain Mussard |
| Created Date | 01 March 2024 |
| Contact Name | Ihsan Ullah |
| Contact Email | stylized--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}
}
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