Standard DatasetsSky and Person Semantic Segmentation 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 "Sky and Person Semantic Segmentation Dataset" is developed for the visual entertainment industry, comprising internet-collected images with resolutions ranging from 1024 x 1297 to 4000 x 2667 pixels. This dataset focuses on semantic segmentation, providing annotations for 14 categories including sky, various human features like hair, face, and clothing, as well as accessories such as bags and sunglasses, offering a comprehensive resource for detailed scene and character analysis.
Sample
Specification
Dataset ID
MD-Image-058
Dataset Name
Sky and Person Semantic Segmentation Dataset
Data Type
ImageVolume
About 736
Data Collection
Internet collected images. Resolution ranges from 1024 x 1297 to 4000 x 2667.
Annotation
Semantic Segmentation
Annotation Notes
The annotation includes 14 categories such as sky, hair, face, beard, ornaments, clothing and sunglasses, bag, waistband, background, other body parts, eyebrows, eyes, nose, mouth, etc.
Application Scenarios
Visual Entertainment
Data Collections
This dataset includes approximately 736 images, each annotated with a wide range of categories to accurately segment both the sky and various aspects of the human subject. The detailed segmentation of facial features, clothing, and accessories, alongside the sky, supports the creation of realistic and engaging visual content, enhancing character design, digital backdrops, and interactive media experiences by providing nuanced insights into both the characters and their environments.
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.
Related products
Any further information, please contact us.
