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Home > All Category Datasets > Computer Vision Datasets > Occluded Face Recognition Dataset – 1,007 People, 201,400 Images with Multi-poses

Occluded Face Recognition Dataset – 1,007 People, 201,400 Images with Multi-poses

occlusion face recognition dataset

occluded face detection dataset

face recognition with occlusion dataset

occluded face dataset

This dataset contains 1,007 people with 200 images per subject, totaling 201,400 images. Each subject was captured under 4 kinds of light conditions, 10 kinds of occlusion cases (including non-occluded case) and 5 kinds of face poses. This data can be applied to computer vision tasks such as occluded face detection, recognition, and pose-invariant face recognition 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

1,007 people, 200 images per person

Race distribution

Vietam

Gender distribution

521 males , 486 females

Age distribution

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

Collecting environment

including indoor and outdoor scenes

Data diversity

multiple face poses, multiple occlusion cases, multiple ages, multiple light conditions and scenes

Device

cellphone

Data format

.jpg

Accuracy

the accuracy of labels of face pose, occlusion case, gender and age is 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.

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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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