Standard DatasetsPortrait 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.
The "Portrait Matting Dataset" includes high-resolution images meticulously annotated for portrait matting, making it perfect for AI applications in virtual try-ons, digital marketing, and content creation. Catering to the apparel and media & entertainment sectors, this comprehensive dataset features a diverse collection of live screenshot images with resolutions varying from 138 × 189 to 6000 × 4000. It includes single individuals, groups, and their accessories, annotated for contour, semantic, and instance segmentation tasks. This dataset supports the development of advanced image editing tools that require precise matting of human portraits, enhancing video and photo editing applications with accurate segmentation and recognition.
Sample
Specification
Dataset ID
MD-Image-015
Dataset Name
Portrait Matting Dataset
Data Type
ImageVolume
About 294.5k
Data Collection
Internet collected images of live screenshots, resolution ranges from 138 × 189 to 6000*4000.
Annotation
Semantic Segmentation,Instance Segmentation,Contour Segmentation
Annotation Notes
The dataset includes single people, multiple people and accessories for people.
Application Scenarios
Media & Entertainment;Apparel
Data Collections
Comprising approximately 294.5k images, this dataset offers a wide range of portraits from live screenshots, capturing various scenarios involving single and multiple subjects along with their accessories. Each image is meticulously annotated to support detailed segmentation, making it an invaluable resource for enhancing applications in apparel fitting, media production, and interactive entertainment, by providing a broad spectrum of human poses and interactions.
Data Applitcation
● Virtual Try-Ons: Enhance user experience with accurate portrait matting.
● Digital Marketing: Create engaging and realistic marketing visuals.
● Content Creation: Support high-quality digital content production.
Why choose our Portrait Matting Dataset
● Precision: Detailed annotations ensure high-quality matting.
● High Resolution: Images suitable for professional use.
● Wide Range of Uses: Ideal for various AI-powered image editing applications.
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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