Gender in Face Recognition: Psychological Study Data

Faces constitute one of the most important stimuli for humans. This dataset, authored by Jenny Rehnman, likely contains data from studies on gender differences in face recognition, such as findings that women recognize more faces than men. The dataset is sourced from paperswithcode, but its specific size, format, and update date are unknown.

Use Cases

• Analyzing gender-based performance differences in face recognition tasks based on the described psychological findings.
• Training or benchmarking models for bias detection in facial recognition systems based on gender.
• Conducting meta-analysis or replicating studies on the sociological concept of face recognition.
• Investigating the pattern recognition psychology of in-group versus out-group face identification.

Strengths

• Authored by a named researcher, Jenny Rehnman, providing a point of academic provenance.
• Focuses on a specific, well-defined research question at the intersection of psychology and computer vision.

Limitations

• Row count, file formats, and column-level documentation are absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• License is listed as closed, which may restrict usage.

Provenance

Source

Jenny Rehnman, via paperswithcode

Collection Method

Likely compiled from psychological or sociological studies, as inferred from the description and platform tags.

Time Range

null

Freshness

Last updated: unknown

Geography

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