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Human Face Segmentation Data from 38,611 Images. Pure color backgrounds, interior and exterior scene types are all included in the data. Both males and females are included in the data. Black and Caucasian races are represented in the race distribution. The data covers multiple age groups. Simple and complex facial expressions can be found in the data (large-angle tilt of face, closing eye, glower, pucker, opening mouth, etc.). We used pixel-by-pixel segmentation annotations to annotate the human face, the five sense organs, the body, and appendages. The information can be applied to tasks like facial Recon Related Tasks.
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Specifications
Data size
38,611 images, there is only one face in an image
Racial distribution
29,501 images of Caucasian, 9,110 images of black race
Collection environment
including pure color background, indoor scenes and outdoor scenes
Data format: the image data is in .jpg or .png format, the annotation file is in .json or .psd format; the human face resolution is not lower than 128*128, and pupillary distance is not less than 60 pixels
Annotation content
segmentation annotation of human face, the five sense organs, body and appendages
Accuracy
the mask edge location errors in x and y directions are less than 3 pixels, which is considered as a qualified annotation; the annotation part (id) is regarded as the unit, the accuracy rate of segmentation annotation shall be more than 97%
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.
Specifications
Sample
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