README.md

---
tags:
- Image classification
- deep learning
- computer vision
- Product recognition
- image classification
- e-commerce application
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: Maternity Wear Image Classification Dataset
size_categories:
- 1B<n<10B
---

# Maternity Wear Image Classification Dataset

With the rapid development of the e-commerce industry, the demand for maternity wear is gradually increasing. However, current image classification technology still faces challenges in accuracy and data scarcity when identifying different styles of maternity wear. Most existing solutions rely on manual labeling, which is inefficient and prone to errors. This dataset aims to improve the accuracy of automated classification by providing high-quality images of maternity wear products to meet the growing needs of e-commerce platforms. Data collection uses professional cameras under standardized environments to ensure image clarity and consistency. Additionally, the data undergoes multiple rounds of labeling and expert review to ensure consistency and accuracy in labeling, and is ultimately stored in JPG format. The dataset&#039;s organizational structure is clear, facilitating subsequent model training and application.

## Technical Specifications

| Field | Type | Description |
| :---  | :---  | :--- |
| file_name | string | File name |
| quality | string | Resolution |
| category | string | The category of maternity wear in the image, such as dresses, tops, pants, etc. |
| color_palette | string | The main color palette in the image, such as warm tones, cool tones, neutral tones, etc. |
| pattern | string | The pattern style of the maternity wear in the image, such as solid color, stripes, floral, etc. |
| style | string | The style of maternity wear in the image, such as casual, formal, casual chic, etc. |
| season | string | The season suitable for wearing the maternity wear, such as spring, summer, autumn, winter. |

## Compliance Statement

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

## Source & Contact

If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/c821f159281acbd72008a3dcfa418e78?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com