Standard DatasetsClothes 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 "Clothes Segmentation Dataset" is crafted for the e-commerce, fashion, and visual entertainment sectors, incorporating a wide array of internet-collected images with resolutions ranging from 183 x 275 to 3024 x 4032 pixels. This dataset specializes in contour and semantic segmentation, featuring around 30 target categories including clothing items, accessories, and body parts, facilitating detailed analysis and application in fashion technology.
Sample
Specification
Dataset ID
MD-Image-027
Dataset Name
Clothes Segmentation Dataset
Data Type
ImageVolume
About 14.3k
Data Collection
Internet collected images. Resolution ranges from 183 x 275 to 3024 x 4032.
Annotation
Semantic Segmentation,Contour Segmentation
Annotation Notes
The annotation includes background, cap, hair, sunglasses, coat, half-length skirt, trousers, dress, tie, left shoe, right shoe, face, left leg, right leg, left arm, right arm, bag, scarf, mobile phone and other large accessories, about 30 target categories.
Application Scenarios
Fashion;E-Commerce;Visual Entertainment
Data Collections
Comprising approximately 14.3k images, this dataset provides detailed annotations for a comprehensive range of categories, from apparel items like coats and trousers to accessories such as bags and mobile phones. The diverse segmentation categories enable precise identification and analysis of clothing and accessory items, making it an invaluable resource for enhancing e-commerce platforms, fashion design tools, and content creation in visual entertainment, by offering a nuanced view of clothing styles and trends.
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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