Stanford 40 Actions Dataset

Dataset details

Last updated: 15 Dec 2022
Meta Album ID HUM_ACT.ACT_40
Domain ID HUM_ACT
Domain Name Human Actions
Set Number 1
Dataset ID ACT_40
Dataset Name Stanford 40 Actions
Short Description Stanford 40 Actions dataset with images of humans performing 40 actions.
Long Description The Stanford 40 Actions dataset(http://vision.stanford.edu/Datasets/40actions.html) contains images of humans performing 40 actions. There are 9 532 images in total with 180-300 images per action class. The dataset is designed for understanding human actions in still images. For Meta-Album, the dataset is preprocessed and images are resized into 128x128 pixels using Open-CV.
# Classes 40
# Images 3389
Keywords human actions
Data Format images
Image size 128x128
License
(original data release)		 Cite paper to use dataset
License
(Meta-Album data release)		 CC BY-NC 4.0
License URL
(Meta-Album data release)		 https://creativecommons.org/licenses/by-nc/4.0/
Source Stanford 40 Actions
Source URL http://vision.stanford.edu/Datasets/40actions.html
Original Author B. Yao, X. Jiang, A. Khosla, A.L. Lin, L.J. Guibas, and L. Fei-Fei.
Original contact bangpeng@cs.stanford.edu
Meta Album author Jilin He
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 44247 Download
Mini 44291 Download
Extended 44325 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 

@INPROCEEDINGS{6126386,
  author={Yao, Bangpeng and Jiang, Xiaoye and Khosla, Aditya and Lin, Andy Lai and Guibas, Leonidas and Fei-Fei, Li},
  booktitle={2011 International Conference on Computer Vision}, 
  title={Human action recognition by learning bases of action attributes and parts}, 
  year={2011},
  pages={1331-1338},
  doi={10.1109/ICCV.2011.6126386}
}
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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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