| Stylized Meta Album ID | PLT_DIS.PLT_DOC_STY |
|---|---|
| Domain ID | PLT_DIS |
| Domain Name | Plant Diseases |
| Dataset ID | PLT_DOC_STY |
| Dataset Name | Plant Doc Stylized |
| Description | Plant disease dataset (stylized) |
| # Classes | 400 |
| # Images | 42620 |
| Keywords | plants, plant diseases, |
| Data Format | images |
| Image size | 256x256 |
| License (original data release) |
Creative Commons Attribution 4.0 International |
| License URL (original data release) |
https://github.com/pratikkayal/PlantDoc-Object-Detection-Dataset/blob/master/LICENSE.txt |
| License (Stylized Meta-Album data release) |
Creative Commons Attribution 4.0 International |
| License URL (Stylized Meta-Album data release) |
https://creativecommons.org/licenses/by/4.0/ |
| Source | PlantDoc: A Dataset for Visual Plant Disease Detection |
| Source URL |
https://github.com/pratikkayal/PlantDoc-Object-Detection-Dataset |
| Original Author | Sharada Mohanty, David Hughes, and Marcel Salathé |
| Original contact | |
| 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}
}
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