Wake-Vision / README.md
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metadata
license: cc-by-4.0
size_categories:
  - 1M<n<10M
task_categories:
  - image-classification
pretty_name: Wake Vision
dataset_info:
  features:
    - name: age_unknown
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: body_part
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: bright
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: dark
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: depiction
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: far
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: filename
      dtype: string
    - name: gender_unknown
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: image
      dtype: image
    - name: medium_distance
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: middle_age
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: near
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: non-person_depiction
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: non-person_non-depiction
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: normal_lighting
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: older
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: person
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: person_depiction
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: predominantly_female
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: predominantly_male
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
    - name: young
      dtype:
        class_label:
          names:
            '0': 'No'
            '1': 'Yes'
  splits:
    - name: validation
      num_bytes: 5296900547.25
      num_examples: 18582
    - name: test
      num_bytes: 15830126041.625
      num_examples: 55763
  download_size: 26134101710
  dataset_size: 21127026588.875
configs:
  - config_name: default
    data_files:
      - split: train_quality
        path: data/train_quality*
      - split: test
        path: data/test-*
      - split: validation
        path: data/validation-*

Dataset Card for Wake Vision

Dataset Description

"Wake Vision" is a large, high-quality dataset featuring over 6 million images, significantly exceeding the scale and diversity of current tinyML datasets (100x). This dataset includes images with annotations of whether each image contains a person. Additionally, it incorporates a comprehensive fine-grained benchmark to assess fairness and robustness, covering perceived gender, perceived age, subject distance, lighting conditions, and depictions.

The Wake Vision labels are derived from Open Image's annotations which are licensed by Google LLC under CC BY 4.0 license. The images are listed as having a CC BY 2.0 license. Note from Open Images: "while we tried to identify images that are licensed under a Creative Commons Attribution license, we make no representations or warranties regarding the license status of each image and you should verify the license for each image yourself."

  • License: [CC-BY 4.0]

Dataset Sources

Citation

BibTeX:

@misc{banbury2024wake,
      title={Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection}, 
      author={Colby Banbury and Emil Njor and Matthew Stewart and Pete Warden and Manjunath Kudlur and Nat Jeffries and Xenofon Fafoutis and Vijay Janapa Reddi},
      year={2024},
      eprint={2405.00892},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Dataset Card Contact

cbanbury@g.harvard.edu