Meta_Album_AWA_Micro

OpenML dataset with id 44275

Ihsan Ullah

Full work available at URL: https://api.openml.org/data/v1/download/22110975/Meta_Album_AWA_Micro.arff

Upload date: 28 October 2022
Copyright license: Creative Commons Attribution-NonCommercial 4.0 International

Dataset Characteristics

Number of classes: 20
Number of features: 3 (numeric: 1, symbolic: 0 and in total binary: 0 )
Number of instances: 800
Number of instances with missing values: 800
Number of missing values: 800

Description

Meta-Album Animals with Attributes Dataset (Micro)

* The original Animals with Attributes 2 (AWA) dataset (https://cvml.ist.ac.at/AwA2/) was designed to benchmark transfer-learning algorithms, in particular attribute base classification and zero-shot learning. It has more than 37 000 images from 50 animals, where each animal corresponds to a class. The images of this dataset were collected from public sources, such as Flickr, in 2016, considering only images licensed for free use and redistribution. Each class can have 100 to 1 645 images with a resolution from 100x100 to 1 893x1 920 px. To preprocess this dataset, we cropped the images from either side to make them square. In case an image has a resolution lower than 128 px, the squared images are done by either duplicating the top and bottom-most 3 rows or the left and right most 3 columns based on the orientation of the original image. Lastly, the square images are resized into 128x128 px using an anti-aliasing filter.

Dataset Details

![1]

Meta Album ID: LR_AM.AWA Meta Album URL: https://meta-album.github.io/datasets/AWA.html Domain ID: LR_AM Domain Name: Large Aninamls Dataset ID: AWA Dataset Name: Animals with Attributes Short Description: Mamals dataset for image classification \# Classes: 20 \# Images: 800 Keywords: mammals, animals, Data Format: images Image size: 128x128

License (original data release): Creative Commons License URL(original data release): https://cvml.ist.ac.at/AwA2/

License (Meta-Album data release): Creative Commons License URL (Meta-Album data release): https://cvml.ist.ac.at/AwA2/

Source: Animals with attributes 2 Source URL: https://cvml.ist.ac.at/AwA2/

Original Author: Christoph H. Lampert, Bernt Schiele, Zeynep Akata Original contact: chl@ist.ac.at

Meta Album author: Dustin Carrion Created Date: 01 March 2022 Contact Name: Ihsan Ullah Contact Email: meta-album@chalearn.org Contact URL: https://meta-album.github.io/

Cite this dataset

``` @ARTICLE{8413121,

 author={Xian, Yongqin and Lampert, Christoph H. and Schiele, Bernt and Akata, Zeynep},
 journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
 title={Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly}, 
 year={2019},
 volume={41},
 number={9},
 pages={2251-2265},
 doi={10.1109/TPAMI.2018.2857768}

}

```

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}
   }

```

More

For more information on the Meta-Album dataset, please see the [NeurIPS 2022 paper] For details on the dataset preprocessing, please see the [supplementary materials] Supporting code can be found on our [GitHub repo] Meta-Album on Papers with Code [Meta-Album]

Other versions of this dataset**

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This page was built for dataset: Meta_Album_AWA_Micro