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Masked Face Recognition Dataset with 6,502 People and 45K+ Images
masked face recognition dataset
occluded face dataset
gauze mask face dataset
occluded face recognition data
face dataset with masks
face verification dataset
This dataset contains facial images from 6,502 individuals, with 7 images collected for each person under diverse real-world conditions. The dataset covers various demographic characteristics, including different age groups and ethnic backgrounds,covering Asian(Cambodia, Mongolia, Vietnam, etc.), Black, Caucasian, and other populations, as well as multiple environments such as indoor and outdoor scenes. It includes different mask types, facial occlusion conditions, and lighting variations. The dataset is suitable for masked face recognition, face verification and face identification.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data content
6,502 people of face images with mask, 7 images per person
Data distribution
① different races like Asian (5,044 people), black (951 people), brown (42 people), Caucasian (465 people); ② different genders like female(3,828 people) and male(2,674 people); ③ different ages; ④ different scenes like indoor and outdoor; ⑤ different types of mask and light condition
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.