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+ # Audio files - uncompressed
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+ # Image files - uncompressed
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README.md ADDED
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+ ---
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+ tags:
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+ - image generation
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+ - style transfer
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+ - virtual try-on
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+ - product display
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+ - consumer experience
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+ license: cc-by-nc-sa-4.0
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+ task_categories:
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+ - image-to-image
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+ language:
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+ - en
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+ pretty_name: Midi Skirt Style Try-On Dataset
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+ size_categories:
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+ - 1B<n<10B
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+ ---
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+
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+ # Midi Skirt Style Try-On Dataset
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+
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+ In the current retail e-commerce industry, consumers have increasing demands for online shopping experiences, especially for clothing try-ons. Traditional e-commerce platforms lack realism, leading to reduced user purchase intent. Existing solutions mostly rely on static image displays, unable to provide an interactive experience, making it difficult for users to judge the actual effect of clothing. The Midi Skirt Style Try-On Dataset aims to use synthetic image technology to provide a realistic try-on effect, meeting users&#039; needs for personalized shopping. The dataset structure includes model images, background images, and corresponding style tags. Data collection is primarily carried out through high-quality photographic equipment in diverse environments to ensure authenticity and diversity of images. For quality control, a multi-round annotation and expert review process is adopted to ensure the accuracy and consistency of data. Data is stored in JPEG format and organized by ID for easy retrieval and use. The core advantage of this dataset lies in high annotation accuracy and consistency, with an annotation accuracy rate exceeding 95%. At the same time, innovative synthesis methods and data augmentation technologies are used to make the generated images richer in style expression, effectively enhancing users&#039; online try-on experience and increasing conversion rates, with an expected increase of 10%-15% in sales.
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+
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+ ## Technical Specifications
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+
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+ | Field | Type | Description |
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+ | :--- | :--- | :--- |
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+ | file_name | string | File name |
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+ | quality | string | Resolution |
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+ | model_pose | string | Description of the model's pose in the image, such as standing, sitting, walking, etc. |
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+ | skirt_length | string | Description of the skirt length in the image, such as mini, midi, maxi, etc. |
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+ | skirt_color | string | The color of the skirt in the image. |
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+ | pattern_type | string | The type of pattern on the skirt in the image, such as striped, floral, solid, etc. |
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+ | fabric_type | string | The type of fabric of the skirt in the image, such as denim, cotton, silk, etc. |
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+ | accessories_present | boolean | Indicates whether there are accessories in the image, such as belts, necklaces, etc. |
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+ | model_expression | string | The facial expression of the model in the image, such as smiling, neutral, serious, etc. |
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+ | background_description | string | A brief description of the background in the image, such as indoor, outdoor, white background, etc. |
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+
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+ ## Compliance Statement
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+
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+ <table>
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+ <tr>
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+ <td>Authorization Type</td>
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+ <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
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+ </tr>
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+ <tr>
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+ <td>Commercial Use</td>
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+ <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
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+ </tr>
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+ <tr>
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+ <td>Privacy and Anonymization</td>
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+ <td>No PII, no real company names, simulated scenarios follow industry standards</td>
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+ </tr>
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+ <tr>
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+ <td>Compliance System</td>
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+ <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
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+ </tr>
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+ </table>
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+
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+ ## Source & Contact
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+
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+ If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/5893aa800ef02e414af3ec133166463d?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com