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Home > All Category Datasets > Computer Vision Datasets > 30,696 Pairs – Portrait Retouching Before & After Image Dataset

30,696 Pairs – Portrait Retouching Before & After Image Dataset

portrait retouching dataset
before after portrait images
studio portrait retouching dataset
portrait segmentation dataset
wedding photo retouch dataset
PS retouching dataset
AI portrait editing dataset
image retouching training dataset

This dataset collection scenarios include indoor and outdoor scenes, the country distribution is Algeria, Egypt, Hungary, Poland, and Japan. Data types include portrait photos and wedding photos. In terms of data annotation, detailed retouching and annotationing are performed on the collected studio portrait data. The data can be used for tasks such as raining models for portrait retouching, photo editing, and studio photography applications.

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SpecificationsSpecifications
Data size
30,696 pairs, 61,392 images
Population distribution
race distribution: 4,579 groups of Asian, 1,021 groups of Black, 20,612 groups of Caucasian, 4,484 groups of Brown people; gender distribution: 2,374 groups of males, 28,322 groups of females; age distribution: 62 groups of infants, 300 groups of children, 251 groups of teenagers, 29,744 groups of young adults, 305 groups of middle age and 34 groups of elderly
Country distribution
including Algeria, Egypt, Hungary, Poland, and Japan
Data type
portrait photos, wedding photos, etc.
Collecting environment
indoor scenes, outdoor scenes
Data diversity
multiple age periods, multiple scenes, multiple photo types
Annotation content
detailed retouching and annotating on the collected portrait data from photography studios
Accuracy rata
the accuracy of collection and annotation is not less than 95%
Sample Sample
  • 30,696 Pairs – Portrait Retouching Before & After Image Dataset
  • 30,696 Pairs – Portrait Retouching Before & After Image Dataset
  • 30,696 Pairs – Portrait Retouching Before & After Image 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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