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Home > All Category Datasets > Computer Vision Datasets > 21,125 Identity Face Recognition Dataset with Multi-Pose and Diverse Face Images

21,125 Identity Face Recognition Dataset with Multi-Pose and Diverse Face Images

face recognition dataset

facial recognition dataset

face recognition training data

face image dataset

human face dataset

This dataset contains face images from 21,125 individuals with diverse demographic backgrounds(Southeast Asian, Caucasian, Black, Brown and Indian races.). Each person was captured with 29 images under different poses, lighting conditions, including 28 variation images and one identity reference image. The dataset is suitable for face recognition, face verification, identity matching, face detection, and other computer vision applications.

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

21125 people, 27-29 images per person

Race distribution

7324 black people, 3830 Caucasian people, 918 brown (Mexican) people, 6270 Indian people and 2783 Southeast Asians people

Gender distribution

11459 males, 9666 females

Age distribution

ranging from teenager, young, and the middle-aged to the elderly

Collecting environment

including indoor/outdoor and light/dim scenes

Collecting device

cellphone

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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