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Home > All Category Datasets > Computer Vision Datasets > 9,517 People Face Recognition Data with Identification Photos

9,517 People Face Recognition Data with Identification Photos

Different poses

Races or nationality

Ages and collecting scenes

9,517 People Face Recognition Data with Identification Photos.The race distribution of data includes Asian race (Cambodia, Mongolia, Vietnam, etc.) , Caucasian race, black race and brown race(Mexicans). For each subject, one ID photo and 5-10 life photos were collected. This data can be used for face recognition.

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

Specifications

Specifications

Data size

9,517 people, one ID photo and 5-10 life photos per person

Race distribution

2,099 black people, 2,238 Caucasian people, 841 brown (Mexicans) people and 4,339 Asian (Cambodia, Mongolia, Vietnam, etc.) people

Gender distribution

4,709 males, 4,808 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 poses, races or nationality, ages and collecting scenes

Device

cellphone

Data format

.jpg, .jpeg, .png

accuracy

the accuracy of labels of gender, race or nationality and age 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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