Standard DatasetsMultiple Scenarios And Persons Semantic Segmentation
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 "Multiple Scenarios And Persons Semantic Segmentation" dataset is tailored for the visual entertainment industry, comprising internet-collected images with resolutions from 1280 x 720 to 6000 x 4000. It focuses on multi-person scenes across urban, natural, and indoor settings, providing detailed annotations for human figures, accessories, and backgrounds.
Sample
Specification
Dataset ID
MD-Image-018
Dataset Name
Multiple Scenarios And Persons Semantic Segmentation
Data Type
ImageVolume
About 54k
Data Collection
Internet collected images, resolution ranges from 1280 x 720 to 6000*4000
Annotation
Semantic Segmentation,Contour Segmentation
Annotation Notes
Multi-person images of a human body in urban, natural and indoor scenes, including a multi-person head, trunk, accessories, and background.
Application Scenarios
Visual Entertainment
Data Collections
This dataset consists of around 54k images, featuring multi-person scenarios in various environments. Each image is annotated for contour and semantic segmentation, capturing diverse aspects of human interaction and the surrounding context. This rich dataset is ideal for enhancing visual content, offering a broad perspective on human dynamics in different scenes.
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
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