Pajamas AI Try-on Collection

#Image Generation #Style Transfer #Image Annotation #Virtual Try-on #Online Shopping #Personalized Recommendation
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-08-12

AI Analysis & Value Prop

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.

Dataset Insights

Sample Examples

8ccc8361**.png|1937*2904|8.16 MB

c9a69d44**.png|2160*2424|1.90 MB

34b931ae**.png|1990*3766|9.19 MB

caca51f6**.png|2160*2770|3.73 MB

b296be69**.png|2160*3610|8.61 MB

25a66dbd**.jpg|1224*1632|111.14 KB

b2a90db6**.png|1959*2904|8.65 MB

693f02c9**.png|1943*2878|4.10 MB

2ce70c57**.jpg|1224*1632|120.88 KB

6c3088f4**.png|2160*2407|1.23 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
garment_typestringThe type of garment displayed in the image, such as pajamas, robes, etc.
colorstringThe color of the garment in the image.
patternstringWhether there is a pattern on the garment, and if so, describe its type.
neckline_typestringThe neckline design of the garment in the image, such as crew neck, V-neck, etc.
sleeve_lengthstringThe length of the sleeves of the garment in the image, such as short sleeves, long sleeves, etc.
fabric_typestringThe type of fabric of the garment, such as cotton, silk, etc.
model_posestringThe type of pose displayed by the model in the image.
image_backgroundstringA description of the image background, such as bedroom, living room, etc.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Pajama AI Try-On Dataset?
The Pajama AI Try-On Dataset is a multimodal dataset that includes a rich collection of images designed to showcase AI try-on effects for pajamas, aimed at enhancing the online shopping experience on e-commerce platforms.
How does the Pajama AI Try-On Dataset enhance online shopping experience?
By providing detailed AI try-on images, this dataset helps consumers better understand the fit and look of pajamas, enabling them to make more informed purchasing decisions.
Which industries is this dataset suitable for?
The Pajama AI Try-On Dataset is mainly relevant for the retail industry, particularly in e-commerce, to enhance consumer shopping experiences.
What data modalities are included in this dataset?
The Pajama AI Try-On Dataset includes image data modalities, making it a multimodal dataset.
How can e-commerce platforms utilize the Pajama AI Try-On Dataset?
E-commerce platforms can use the images in this dataset to offer virtual try-on services for consumers, enhancing user engagement and satisfaction.

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Cite this Work

@dataset{Mobiusi2025,
  title={Pajamas AI Try-on Collection},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/f6f5cd2deb71ea30bee6e96d94751477},
  urldate={2025-09-15},
  keywords={Pajamas Try-on, Virtual Try-on, Image Synthesis Dataset, E-commerce Image Data},
  version={1.0}
}

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