Infrared Face Recognition Sample with 4,134 Individuals

Presenting a sample of 4,134 individuals for infrared face recognition. Data was collected using a RealSense D453i device across indoor and outdoor scenes, featuring subjects from children to the elderly, with young and middle-aged adults as the majority.

Use Cases

• Train a face recognition model on infrared images from 4,134 individuals across different age groups.
• Analyze the performance of recognition algorithms on infrared data collected in both indoor and outdoor scenes.
• Evaluate demographic representation, such as age distribution, within infrared face recognition datasets.

Strengths

• Contains 4,134 individual samples for model training and evaluation.
• Data collection includes both indoor and outdoor scenes, providing environmental diversity.
• Covers a wide age range from child to elderly, with a focus on young and middle-aged adults.

Limitations

• The dataset is explicitly described as a sample of a larger paid dataset, limiting its scope.
• Specific details on image count, resolution, or annotation formats are not provided in the input.
• The geographic origin of the data is not specified, which may limit generalizability.

Provenance

Source

Nexdata

Collection Method

Collected using a RealSense D453i device.

Freshness

The dataset was last updated on 2025-04-24.