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888 Images – Alpha Matting Human Segmentation Dataset

human segmentation dataset
human body segmentation dataset
human image segmentation dataset
human matting dataset
image matting dataset
alpha matting dataset

This dataset contains 888 human images collected across diverse indoor and outdoor scenes. It covers multiple age groups, body orientations, and human poses. Each human figure is annotated with an alpha matte. The data can be used for tasks such as human matting, human body segmentation, image segmentation.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Data size
393 people, 888 images
Population distribution
race distribution: Caucasian; gender distribution: 193 males, 200 females; age distribution: including juvenile, youth, middle age
Collecting environment
indoor scenes, outdoor scenes
Data diversity
multiple scenes, multiple age groups, multiple human body angles, multiple postures
Device
cellphone, camera
Data format
the image data format is .jpg, the mask file format is .png
Collection content
collecting half body or full body images
Annotation content
segmentation annotation of human body
Accuracy
the accuracy of label annotation is not less than 97%; 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 (human body) is regarded as the unit, the accuracy shall be more than 97%
Sample Sample
Recommended DatasetsRecommended Dataset
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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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