Animals with Attributes Dataset

Dataset details

Last updated: 15 Dec 2022
Meta Album ID LR_AM.AWA
Domain ID LR_AM
Domain Name Large Aninamls
Set Number 2
Dataset ID AWA
Dataset Name Animals with Attributes
Short Description Mamals dataset for image classification
Long Description 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.
# Classes 50
# Images 37318
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/

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Dataset Info Datasheet

Download Dataset from OpenML

Dataset Version OpenML ID
Micro 44275 Download
Mini 44305 Download
Extended 44338 Download

Code to download dataset using OpenML API

      # 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)

Sample Images

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}
}
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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}
  }
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