Mobiusi/High-Heel-AI-Try-On-Image-Collection

High Heel AI Try-On Image Collection

The current retail e-commerce industry faces the issue of customers not being able to experience products authentically while shopping online, especially for footwear like high heels, where consumers often abandon purchases due to the inability to try them on. Existing solutions, such as static image displays, fail to meet consumers' demand for a realistic sense of the product. This dataset aims to address the technical issue of the lack of online try-on experiences for consumers by providing synthetic high heel try-on images. The structure of the dataset includes a unique ID for each image, image links, shoe type, and model ID. Data collection is achieved using advanced image synthesis technology, combining the postures of real models with high heel images to generate high-quality try-on effects. To ensure data quality, multiple rounds of annotation and consistency checks are performed to ensure the authenticity of each synthetic image. The data storage format is JPG, organized by shoe type and model classification.

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
shoe_color	string	Identify the color of the high heels in the image.
shoe_type	string	Identify the type of high heels in the image, such as pointed, round, etc.
heel_height	float	Identify the heel height of the high heels in the image in centimeters.
shoe_material	string	Identify the material of the high heels in the image, such as leather, fabric, etc.
foot_position	string	Identify the posture or position of the foot in the image.
background_type	string	Identify the type of background in the image, such as indoor, outdoor, etc.
lighting_condition	string	Identify the lighting condition of the image, such as bright, dim.

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