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Home > All Category Datasets > Computer Vision Datasets > Facial Skin Defects Dataset – 21302 Images with Acne, Wrinkles, and Dark Circles

Facial Skin Defects Dataset – 21302 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 21302 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 dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.

Specifications

Specifications

Data size

21302 images： acne (9157 images), acne marks (8883 images), stains (19637 images), wrinkles (20476 images), and black circles (8206 images)

Race (Country) distribution

3176 people of Asian（excluding Chinese people）, 3,735 people of Caucasian, 7,263 people of Black, 906 people of Brown, 6,222 people of Indian

Gender distribution

11471 males, 9831 females

Age distribution

multi-age

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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Dataset FAQs

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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