Passenger Behavior Recognition Images Across Age and Race Groups

Sample of 122 images for passenger behavior recognition. It includes images of multiple age groups and races (Caucasian, Black, Indian) depicting normal and abnormal behaviors such as carsick, sleepy, and lost items.

Use Cases

• Train an image classifier to recognize passenger abnormal behavior categories like carsick or sleepy behavior.
• Analyze the distribution of behavior labels across the specified racial groups (Caucasian, Black, Indian).
• Use the images of multiple age groups to evaluate model fairness or bias in behavior recognition systems.

Strengths

• Dataset includes 122 annotated images for behavior recognition.
• Covers multiple demographic variables including age groups and races (Caucasian, Black, Indian).
• Defines specific abnormal behavior categories: carsick, sleepy, and lost items.

Limitations

• Small sample size of 122 images limits model training and statistical analysis.
• Dataset is described as a paid sample, implying the full data is not freely available.
• Geographic coverage is unclear, with a 'Regionus' tag suggesting a potential US bias.

Provenance

Source

Nexdata

Freshness

Last updated on 2025-04-24.

Geography

Region tag indicates 'us', but specific coverage is unknown.