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Home > All Category Datasets > Computer Vision Datasets > Facial Skin Defects Dataset – 26,090 Images with Acne, Wrinkles, and Dark Circles

Facial Skin Defects Dataset – 26,090 Images with Acne, Wrinkles, and Dark Circles

facial skin defects dataset

dermatology AI dataset

wrinkle detection dataset

dark circles dataset

skin condition dataset

skin defects dataset

This dataset provides 26,090 facial images.The data includes the following five types of facial skin defects: acne, acne marks, stains, wrinkles, and dark circles. This data can be used for tasks such as skin defects detection and skincare AI.

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

26,090 images： acne (9,690 images), acne marks (9,614 images), stains (21,647 images), wrinkles (21,228 images), and black circles (9,200 images)

Race (Country) distribution

7,964 people of Asian, 3,735 people of Caucasian, 7,263 people of Black, 906 people of Brown, 6,222 people of Indian

Gender distribution

13,153 males, 12,937 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

different skin defects, countries, ages and scenes

Device

cellphone

Data format

.jpg

Accuracy

the accuracy of labels of gender, age and skin defects are 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.

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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