Standard Datasets

Object Contour 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 "Object Contour Matting Dataset" is a versatile collection tailored for the e-commerce, internet, and mobile sectors, encompassing a wide range of objects like clothing, accessories, merchandise, plants, and food. This dataset focuses on contour segmentation of the main object, making it a valuable resource for applications that require precise object outline extraction.

Sample

Specification

Dataset ID

MD-Image-007

Dataset Name

Object Contour Matting Dataset

Data Type

Image

Volume

About 50k

Data Collection

Internet collected object images including clothing, accessories, merchandise, plants, food and so on

Annotation

Semantic Segmentation,Contour Segmentation

Annotation Notes

Contour segmentation of the main object.

Application Scenarios

Internet;Mobile;E-Commerce

Data Collections

This dataset brings together 50k internet-collected images of various objects, designed for detailed contour segmentation tasks. It's ideal for e-commerce platforms, mobile applications, and internet services, providing the foundation for accurate object recognition and segmentation, enhancing user experiences across shopping, inventory management, and digital content creation.

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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