Standard Datasets

E-commerce Product 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 "E-commerce Product Dataset" is a comprehensive collection tailored for the e-commerce sector, featuring a wide range of products from 16 main categories including shoes, hats, bags, furniture, digital products, jewelry, and more. With over 200k SKUs, this dataset is equipped with bounding boxes and category tags, making it a pivotal resource for product classification and inventory management.

Sample

Specification

Dataset ID

MD-Image-010

Dataset Name

E-commerce Product Dataset

Data Type

Image

Volume

About 2M

Data Collection

Internet collected e-commerce product, covering 16 main categories like shoe, hat, bag, furniture, digital, jewelry, etc. More than 200k SKUs.

Annotation

Bounding Box,Classification

Annotation Notes

Bounding box, category tag.

Application Scenarios

E-Commerce

Data Collections

This dataset encompasses approximately 2 million images, each representing a distinct e-commerce product across a variety of categories. It's annotated with bounding boxes and category tags, offering an extensive resource for e-commerce platforms to enhance product classification, search functionality, and recommendation systems, thereby improving the shopping experience for users.

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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