3 datasets found
  1. P

    international faces Dataset

    • paperswithcode.com
    Updated Mar 18, 2023
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    (2023). international faces Dataset [Dataset]. https://paperswithcode.com/dataset/chicago-face-database-cfd
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    Dataset updated
    Mar 18, 2023
    Description

    "The Chicago Face Database was developed at the University of Chicago by Debbie S. Ma, Joshua Correll, and Bernd Wittenbrink. The CFD is intended for use in scientific research. It provides high-resolution, standardized photographs of male and female faces of varying ethnicity between the ages of 17-65. Extensive norming data are available for each individual model. These data include both physical attributes (e.g., face size) as well as subjective ratings by independent judges (e.g., attractiveness).

    Detailed information about the construction of the database and the available norming data can be found in Ma, Correll, & Wittenbrink (2015)."

  2. faces_dataset

    • kaggle.com
    zip
    Updated Mar 26, 2024
    + more versions
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    GIACOMO CAPITANI (2024). faces_dataset [Dataset]. https://www.kaggle.com/datasets/giacomocapitani/faces-dataset
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    zip(0 bytes)Available download formats
    Dataset updated
    Mar 26, 2024
    Authors
    GIACOMO CAPITANI
    Description

    Dataset

    This dataset was created by GIACOMO CAPITANI

    Contents

  3. d

    Emotion Bias Dataset (EBD)

    • search.dataone.org
    Updated Nov 12, 2023
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    Kyriakou, Kyriakos; Kleanthous, Styliani; Otterbarcher, Jahna; Papadopoulos, George (2023). Emotion Bias Dataset (EBD) [Dataset]. http://doi.org/10.7910/DVN/8MW0RA
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    Dataset updated
    Nov 12, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kyriakou, Kyriakos; Kleanthous, Styliani; Otterbarcher, Jahna; Papadopoulos, George
    Description

    Vision-based cognitive services (CogS) have become crucial in a wide range of applications, from real-time security and social networks to smartphone applications. Many services focus on analyzing people images. When it comes to facial analysis, these services can be misleading or even inaccurate, raising ethical concerns such as the amplification of social stereotypes. We analyzed popular Image Tagging CogS that infer emotion from a person’s face, considering whether they perpetuate racial and gender stereotypes concerning emotion. By comparing both CogS and Human-generated descriptions on a set of controlled images, we highlight the need for transparency and fairness in CogS. In particular, we document evidence that CogS may actually be more likely than crowdworkers to perpetuate the stereotype of the “angry black man" and often attribute black race individuals with “emotions of hostility". This dataset consists of the raw data collected for this work, both from Emotion Analysis Services (EAS) and Crowdsourcing (Crowdworkers from the Appen (formerly known as FigureEight) Platform targeting US and India participants. We’ve used the Chicago Face Database (CFD) as our primary dataset for testing the behavior of the target EAS.

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Share
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Email
Click to copy link
Link copied
Close
Cite
(2023). international faces Dataset [Dataset]. https://paperswithcode.com/dataset/chicago-face-database-cfd

international faces Dataset

Explore at:
Dataset updated
Mar 18, 2023
Description

"The Chicago Face Database was developed at the University of Chicago by Debbie S. Ma, Joshua Correll, and Bernd Wittenbrink. The CFD is intended for use in scientific research. It provides high-resolution, standardized photographs of male and female faces of varying ethnicity between the ages of 17-65. Extensive norming data are available for each individual model. These data include both physical attributes (e.g., face size) as well as subjective ratings by independent judges (e.g., attractiveness).

Detailed information about the construction of the database and the available norming data can be found in Ma, Correll, & Wittenbrink (2015)."

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