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Database Name:Multi-Scene Cross-Camera Facial Dataset

Database Name:Multi-Scene Cross-Camera Facial Dataset
Data Application Scenarious

This facial dataset is applicable to Facial Recognition Systems

Security Surveillance, and

ProducerSurfingtech
IPR OwnershipSurfingtech
Quantity1650 People
Ethnicity

East Asian 550, African 550, Caucasian 550

BackgrountIndoor
Captured DeviceHik Camera(RGB+IR)
Details

99000 registered videos +1360 videos of different scenes.

Single-person registration video.

Multiplayer videos in different scenes :cafe scene, vertical elevator scene, 

escalator scene, L-shaped channel scene.


Introduction:

The database includes single-person registration videos and multiple-person videos in different scenarios. 

The registration location is collected by a single person, and the rest of the scenes are collected by multiple people.

4200 video clips have been tagged, with a total of 20 million rectangular frames. 

Each rectangular frame is associated with a globally unique ID of the collected individual.


Sample images in this dataset
7 cameras shot in groups in the cafe
Side camera
Front camera 1
Front camera 2
Top camera 1
Top camera 2
Corner camera 1
Corner camera 2
4 cameras are shoting in groups on the escalator
Corner camera 1
Corner camera 2
Corner camera 3
Front camera
3 cameras in the elevator group shotting
Camera inside
Camera outside 1
Camera outside 2
3 cameras shoot in the L-shaped channel
Inside-front Camera 1
Inside-front Camera 2
Outside-front Camera
4200 video clips have been tagged, with a total of 20 million rectangular frames. Each rectangular frame is associated with a globally unique ID of the collected individual.
Camera 1
Camera 2
Camera 3
Camera 4
Free data samples
Data Detail

Our dataset boasts a wide array of multiracial facial images and videos, captured under different lighting conditions

It encompasses multiple expressions, postures, and facial occlusion data.

Furthermore, we ensure the quality of our data by providing high-resolution imagery, even under different lighting conditions.

Diversity is at the core of our dataset. It features individuals from various age groups and maintains a balanced gender ratio. More importantly, our dataset is globally inclusive, capturing the unique facial features of various ethnicities, including Africans, Asians, Caucasians, and Southeast Asians, ensuring a comprehensive representation for your AI applications.



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