Datasets:

Modalities:
Image
Text
Formats:
parquet
ArXiv:
Libraries:
Datasets
Dask
License:
Wake-Vision / README.md
colbybanbury's picture
Update README.md
4a88d87 verified
|
raw
history blame
4.38 kB
metadata
license: cc-by-4.0
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: test
      num_bytes: 15119280526
      num_examples: 53304
    - name: validation
      num_bytes: 5013154770.625
      num_examples: 17627
  download_size: 20127967346
  dataset_size: 20132435296.625
configs:
  - config_name: default
    data_files:
      - split: train_quality
        path: data/train_quality*
      - split: test
        path: data/test-*
      - split: validation
        path: data/validation-*
task_categories:
  - image-classification
pretty_name: Wake Vision
size_categories:
  - 1M<n<10M

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. Hosted on Harvard Dataverse, it provides images, CSV files, and code to generate a Wake Vision TensorFlow Dataset. Annotations are published under a CC BY 4.0 license, and all images are sourced from the Open Images v7 dataset under a CC BY 2.0 license.

  • 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