Standard DatasetsScarf 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 "Scarf Segmentation Dataset" is curated for the apparel and fashion industries, comprising internet-collected images with resolutions ranging from 504 x 678 to 192 x 2880 pixels. This dataset is dedicated to contour segmentation, focusing on the high-precision delineation of scarf areas, supporting detailed analysis and design applications in fashion technology.
Sample
Specification
Dataset ID
MD-Image-061
Dataset Name
Scarf Segmentation Dataset
Data Type
ImageVolume
About 2000
Data Collection
Internet collected images. Resolution ranges from 504x 678 to 192x 2880
Annotation
Contour Segmentation
Annotation Notes
High precision segmentation of scarf area
Application Scenarios
Fashion;Apparel
Data Collections
This dataset encompasses approximately 2,000 images, each providing detailed segmentation of the scarf area. The high precision of the segmentation makes it particularly useful for applications in apparel design, virtual try-ons, and fashion trend analysis, enabling the development of advanced fashion tech solutions that require accurate representation and manipulation of scarf designs and styles.
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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