AI-driven retail solutions enhance customer service, deliver personalized marketing, and automate large-scale product content creation.
Understand user needs via natural language to provide product recommendations, order tracking, and return/exchange support.
Use browsing, purchase, and preference data to deliver tailored recommendations and promotions.
Automatically create titles, descriptions, and instructions for large-scale, multilingual product listings.
This dataset aims to provide high-quality T-shirt try-on composite images to enhance the online shopping experience.
This dataset includes images of bottled goods, aiming to enhance the accuracy and efficiency of image classification.
This dataset provides a rich set of images of beauty aid tools, aiming to improve the application effectiveness of image classification technology in retail e-commerce.
The makeup brush image classification dataset is used to enhance the accuracy of product identification on e-commerce platforms.
The puff image classification dataset is a high-quality dataset containing rich beauty images to enhance the accuracy of e-commerce product recommendations.
This dataset focuses on the image classification of lip mask products to help improve product identification efficiency.
The Eye Cream Image Classification Dataset aims to support product recognition and classification tasks for e-commerce platforms.
This dataset provides high-quality images and classification labels of sunscreen products, aiming to enhance the accuracy of e-commerce recommendations.
This dataset focuses on image classification of facial mask types, aiding in the intelligent development of retail e-commerce.
The Face Cream Image Classification Dataset is specifically designed for the retail e-commerce industry to enhance product recognition and recommendation capabilities.
This dataset provides high-quality samples for skincare lotion image classification, aiding the development of the e-commerce industry.
This dataset focuses on the image classification of serums and ampoules, aiding in e-commerce product recognition and recommendation.
This dataset provides rich data support for toner image classification, aiding the e-commerce industry in enhancing product recognition capabilities.
Facial cleanser product image classification dataset, assisting e-commerce product recognition and recommendation.
Primer image classification dataset, aiding product recognition and recommendation on e-commerce platforms.
This dataset focuses on the image classification of lip gloss products, supporting product recognition and recommendation in the e-commerce sector.
This dataset provides high-quality lipstick images for image classification and product recognition tasks.
The eyeliner product image classification dataset is specifically designed for the e-commerce industry to enhance product recognition efficiency.
This dataset provides a variety of eyebrow makeup product images, supporting efficient image classification tasks.
This dataset focuses on image classification of mascaras and lash serums, aiding precision marketing in e-commerce.
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