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Home > All Category Datasets > Computer Vision Datasets > 3,919 People Multi-pose Faces Dataset

3,919 People Multi-pose Faces Dataset

Different face poses

Nationalities

Ages

Light conditions

Different scenes

3,919 People Multi-pose Faces Data, 24 images and 9 videos per person. The collection environment includes indoor and outdoor scenes. This data can be used for face detection, face recognition and other tasks.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

Data size

3,919 people, 24 images and 9 videos per person

Race distribution

Asians

Nationality distribution

114 people from Cambodia, 1,951 people from Indonesia, 34 people from Korea, 234 people from Mongolia, 1,107 people from Philippines, 479 people from Vietnam

Gender distribution

2,046 males, 1,873 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, nationalities, ages, light conditions, different scenes

Device

cellphone

Data format

the image data format is .jpeg, .jpg; the video data format is .mp4, .mov

Accuracy

the accuracy of labels of face pose, head pose, nationality, gender, collection environment and age are more than 97%

Sample

Sample

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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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