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  "Wake Vision" is a large, high-quality dataset featuring over 6 million images, significantly exceeding the scale and diversity of
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  current tinyML datasets (100x). This dataset includes images with annotations of whether each image contains a person. Additionally,
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  it incorporates a comprehensive fine-grained benchmark to assess fairness and robustness, covering perceived gender, perceived age,
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- subject distance, lighting conditions, and depictions. Hosted on Harvard Dataverse, it provides images, CSV files, and code to generate
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- a Wake Vision TensorFlow Dataset. Annotations are published under a CC BY 4.0 license, and all images are sourced from the Open Images
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- v7 dataset under a CC BY 2.0 license.
 
 
 
 
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  - **License:** [CC-BY 4.0]
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  "Wake Vision" is a large, high-quality dataset featuring over 6 million images, significantly exceeding the scale and diversity of
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  current tinyML datasets (100x). This dataset includes images with annotations of whether each image contains a person. Additionally,
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  it incorporates a comprehensive fine-grained benchmark to assess fairness and robustness, covering perceived gender, perceived age,
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+ subject distance, lighting conditions, and depictions.
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+ The Wake Vision labels are derrived from Open Image's annotations which are licensed by Google LLC under CC BY 4.0 license.
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+ 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
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+ under a Creative Commons Attribution license, we make no representations or warranties regarding the license status of each
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+ image and you should verify the license for each image yourself."
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  - **License:** [CC-BY 4.0]
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