README.md

---
tags:
- classification
- recognition
- deep learning
- product recognition
- visual search
- e-commerce recommendation
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: Sunscreen Products Image Classification Dataset
size_categories:
- 1B<n<10B
---

# Sunscreen Products Image Classification Dataset

Currently, the retail e-commerce industry faces challenges such as low efficiency in product classification and difficulties in consumer search, especially with sunscreen products, where customers find it hard to quickly locate the required items. Existing image classification solutions lack accuracy and response speed. This dataset aims to improve the accuracy and efficiency of product recognition through high-quality images of sunscreen products and their classification labels. The dataset is constructed using high-end cameras and professional lighting environments to ensure image quality. We have implemented a rigorous quality control process, including multiple rounds of annotation and expert review, to ensure data consistency and accuracy. Data is stored in JPG format and organized in a folder structure for easy direct use.

## Technical Specifications

| Field | Type | Description |
| :---  | :---  | :--- |
| file_name | string | File name |
| quality | string | Resolution |
| product_type | string | The category of sunscreen product, such as sunscreen lotion, spray, etc. |
| brand_name | string | The brand name of the sunscreen product. |
| bottle_color | string | The primary color of the sunscreen product bottle. |
| texture_type | string | The texture type of the sunscreen product, such as lotion, gel, etc. |
| label_visibility | boolean | The visibility of the product's label in the image. |
| cap_type | string | The type of cap on the sunscreen product bottle, such as pump, twist, etc. |

## 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/8822dca1cade2b0b611d9c832e774292?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com