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Home > All Category Datasets > Computer Vision Datasets > 671 People Multi-race and Multi-pose Face Images & Videos Data

671 People Multi-race and Multi-pose Face Images & Videos Data

Multiple poses

Faces

Multiple races

671 People Multi-race and Multi-pose Face Images & Videos Data, 22 images and 40 videos per person. The collection environment includes indoor and outdoor scenes. This data can be used for face recognition and other tasks.

This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.

Specifications

Specifications

Data size

671 people, 22 images and 40 videos per person

Race distribution

184 black people, 189 Caucasian people and 298 Indian people

Gender distribution

326 males, 345 females

Age distribution

covers multiple age groups, the middle-aged and young people are the majorities

Collecting environment

including indoor and outdoor scenes

Data diversity

different face poses, races, ages, light conditions and scenes

Device

camera, video camera, cellphone, iPad

Data format

jpg, mov, .mp4

Accuracy

the accuracy of labels of face pose, head pose, race, gender and is are more than 97%

Sample

Sample

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Dataset FAQs

What types of computer vision applications can Nexdata’s datasets support?

Nexdata’s computer vision datasets support a wide range of AI applications, including image classification, object detection, image segmentation, facial and human-related recognition, scene understanding, autonomous driving, and other visual perception tasks. Depending on the dataset, data may include images, videos, bounding boxes, polygons, keypoints, segmentation masks, text annotations, and other structured labels.

Can Nexdata customize Computer Vision datasets based on our specific requirements?

Yes. If our off-the-shelf Computer Vision datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and curation services. We can customize data based on your target objects, environments, scenarios, camera specifications, geographic locations, data volume, annotation formats, and quality standards to support specific model training and evaluation needs.

How does Nexdata ensure the quality and scalability of its Computer Vision datasets?

Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. Depending on project requirements, we can implement customized annotation guidelines, multi-level reviews, consistency checks, and quality sampling to ensure dataset accuracy and consistency. Our data collection and processing capabilities can also be scaled to support large-volume Computer Vision projects.

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