Living Face and Anti-Spoofing Image Sample

Sample of 1,056 images for living face and anti-spoofing analysis. It contains images of males and females across age groups from juvenile to elderly, collected in both indoor and outdoor scenes. The data includes multiple postures, expressions, and anti-spoofing samples.

Use Cases

• Train a binary classifier to distinguish living faces from spoofing attempts using the provided anti-spoofing samples.
• Analyze the impact of different postures and expressions on face recognition system performance.
• Evaluate demographic fairness of anti-spoofing models across the age and gender distribution present in the sample.

Strengths

• Sample contains 1,056 images for analysis.
• Data includes multiple conditions: indoor and outdoor scenes, multiple postures, and multiple expressions.
• Covers a demographic range from juvenile to elderly, with a focus on young and middle-aged individuals.

Limitations

• Dataset is explicitly a sample of a larger paid dataset, limiting its scale and completeness.
• Specific column names, file formats, and image resolutions are not provided in the input.
• Geographic origin and license information are unknown.

Provenance

Source

Nexdata

Collection Method

null

Time Range

null

Freshness

null

Geography

null