Standard DatasetsSingle-person Portrait Matting Dataset
Advanced datasets and Generative AI are revolutionizing the fashion and e-commerce industries, providing customized experiences and immersive interactions for shoppers worldwide.Our datasets provide valuable insights into fashion trends, styles, and consumer preferences, enabling businesses to deliver personalized shopping experiences.
Our "Single-person Portrait Matting Dataset" is a pivotal resource for the fashion, media, and social media industries, providing finely labeled portrait images that capture a wide range of postures and hairstyles from various countries. With a focus on high-resolution images exceeding 1080 x 1080 pixels, this dataset is tailored for applications requiring detailed segmentation, including hair, ears, fingers, and other intricate portrait features.
Sample
Specification
Dataset ID
MD-Image-003
Dataset Name
Single-person Portrait Matting Dataset
Data Type
ImageVolume
About 50k
Data Collection
Internet collected person portrait image with variable posture and hairstyle, covering multiple countries.
Image resolution >1080 x 1080 pixels.
Annotation
Contour Segmentation,Segmentation
Annotation Notes
Fine labeling of portrait areas, including hair, ears, fingers, and other details.
Application Scenarios
Media & Entertainment;Internet;Social Media;Fashion & Apparel
Data Collections
This collection features 50k high-resolution portraits from various countries, focusing on diverse postures and hairstyles. Each image is finely annotated for detailed segmentation, supporting advanced applications in fashion, media, and social networking, by highlighting intricate details like hair and fingers.
Quality Assurance
Relevant Open Datasets
To supplement our Face Parsing Dataset, users can explore these open datasets for additional resources:
Fashionpedia [Learn more]
This dataset includes 48,825 clothing images annotated with segmentation masks and fine-grained attributes, built upon an expertly crafted ontology that encompasses 27 main apparel categories and 19 apparel parts. It's designed to advance tasks combining both detection and attributes classification in the fashion domain.
DeepFashion2 [Learn more]
A comprehensive fashion dataset containing 491K images of 13 popular clothing categories from both commercial and consumer sources. Each item is meticulously labeled with attributes such as scale, occlusion, viewpoint, category, and style, making it a versatile benchmark for clothing image understanding.
DeepFashion [Learn more]
This dataset boasts around 800K diverse fashion images with rich annotations, including 46 categories, 1,000 descriptive attributes, bounding boxes, and landmark information. The variety ranges from well-posed product images to consumer photos, providing a broad spectrum for fashion image analysis.
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