Sunscreen Products Image Classification Dataset
#classification #recognition #deep learning #product recognition #visual search #e-commerce recommendation
- 15000 records
- 2.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-10
AI Analysis & Value Prop
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.
Dataset Insights
Sample Examples
ed480048**.jpg|1400*1758|188.85 KB
0819ba11**.jpg|1400*1758|115.22 KB
af00ae29**.jpg|1400*1758|195.21 KB
008dd189**.jpg|1400*1758|273.16 KB
9d2555a8**.jpg|1400*1758|129.11 KB
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
| 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 |
Frequently Asked Questions
- What can this dataset be used for?
- The sunscreen product image classification dataset can be used to train image classification models, helping to enhance the accuracy of e-commerce platforms' recommendation systems for sunscreen products.
- What types of sunscreen products are included in the dataset?
- The dataset includes high-quality images of various sunscreen products, which may include sunscreen creams, sprays, lotions, and more.
- How does this dataset improve e-commerce platform recommendation systems?
- By using the image classification model trained on this dataset, e-commerce platforms can more accurately identify and recommend sunscreen products, thereby improving user satisfaction and sales conversion rates.
- What factors should be considered when using this dataset for model training?
- When using this dataset for model training, attention should be paid to the diversity of images and the accuracy of classification labels to ensure the model's generalization ability and classification accuracy.
- What is the role of image classification datasets in the retail industry?
- Image classification datasets can help the retail industry automate product classification, improving the efficiency of inventory management and recommendation systems, which is an important technology for enhancing customer experience and sales.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Sunscreen Products Image Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/8822dca1cade2b0b611d9c832e774292},
urldate={2025-09-15},
keywords={sunscreen product images, image classification dataset, retail e-commerce, product recognition, deep learning},
version={1.0}
}Using this in research? Please cite us.
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