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metadata
tags:
  - Image Generation
  - Style Transfer
  - Image Annotation
  - Virtual Try-on
  - Online Shopping
  - Personalized Recommendation
license: cc-by-nc-sa-4.0
task_categories:
  - unconditional-image-generation
language:
  - en
pretty_name: Pajamas AI Try-on Collection
size_categories:
  - 1B<n<10B

Pajamas AI Try-on Collection

With the rapid growth of the e-commerce industry, consumers are increasingly demanding better online shopping experiences, especially in the clothing sector. The lack of try-on experiences has become a significant barrier to purchasing decisions. Existing virtual try-on technologies largely rely on static images and fail to meet users' personalized needs, leading to a suboptimal experience. To address this issue, this dataset aims to provide diverse synthesized pajamas images to support AI model training and enhance users' virtual trial experiences. Data collection employed advanced 3D modeling technology, capturing images in various settings with professional photography equipment to ensure image quality and diversity. We have implemented strict quality control measures, including multiple rounds of annotation and expert reviews, to ensure data consistency and accuracy. The data is stored in JPG format, structured for easy access and processing.

Technical Specifications

Field Type Description
file_name string File name
quality string Resolution
garment_type string The type of garment displayed in the image, such as pajamas, robes, etc.
color string The color of the garment in the image.
pattern string Whether there is a pattern on the garment, and if so, describe its type.
neckline_type string The neckline design of the garment in the image, such as crew neck, V-neck, etc.
sleeve_length string The length of the sleeves of the garment in the image, such as short sleeves, long sleeves, etc.
fabric_type string The type of fabric of the garment, such as cotton, silk, etc.
model_pose string The type of pose displayed by the model in the image.
image_background string A description of the image background, such as bedroom, living room, etc.

Compliance Statement

Authorization Type CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial Use Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization No PII, no real company names, simulated scenarios follow industry standards
Compliance System Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

If you need more dataset details, please visit Mobiusi. or contact us via contact@mobiusi.com