Lip Gloss Product Image Classification Dataset
#Classification Task #Feature Learning #Product Recognition #Image Search #E-commerce Recommendation
- 25000 records
- 3.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-15
AI Analysis & Value Prop
The current retail e-commerce industry faces challenges such as low product recognition accuracy and inefficient classification. Traditional image classification methods often fail to meet the rapidly changing market demands. Existing solutions lack precision and richness in image annotation, making it difficult to effectively support product recommendations and search engine optimization. This dataset aims to provide high-quality lip gloss product images to support more accurate product classification and recommendation. The dataset collects a large number of lip gloss images through the internet, using high-resolution equipment to ensure image clarity and quality. Each image is annotated and consistency-checked multiple times, with final confirmation by a professional review team to ensure annotation accuracy and consistency. Data is stored in JPG format and organized by category to facilitate subsequent processing and retrieval.
Dataset Insights
Sample Examples
77f48cd1**.png|992*1280|626.69 KB
c431dd0d**.png|734*1280|867.65 KB
459b2e6a**.png|954*1280|1.13 MB
672f6b98**.png|1026*1280|713.32 KB
03371911**.png|974*1280|1.36 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| dominant_color | string | The main color tone of the lip gloss product in the image. |
| texture_pattern | string | The texture or pattern of the appearance of the lip gloss product in the image. |
| product_shape | string | The shape characteristics of the lip gloss product in the image. |
| cap_color | string | The color of the cap of the lip gloss product in the image. |
| bottle_material | string | The material of the lip gloss product bottle in the image (e.g., glass, plastic). |
| lighting_condition | string | The lighting condition during the image capture, such as natural light or artificial light. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 is the Lip Gloss Product Image Classification Dataset?
- The Lip Gloss Product Image Classification Dataset is a dataset focused on identifying and classifying images of lip gloss products, suitable for enhancing product recognition and recommendation on e-commerce platforms.
- In which fields can this dataset be applied?
- This dataset is primarily applied in the retail and e-commerce sectors, aiding in improving product recognition, classification, and personalized recommendations.
- How to use the Lip Gloss Product Image Classification Dataset for e-commerce recommendations?
- E-commerce platforms can use this dataset to train image classification models, enabling automatic recognition and intelligent recommendation of lip gloss products, enhancing the user shopping experience.
- What types of images are included in the Lip Gloss Product Image Classification Dataset?
- The Lip Gloss Product Image Classification Dataset contains images of lip gloss products from various brands and colors, used for training and validating image classification algorithms.
- Why is image classification important for e-commerce platforms?
- Image classification helps e-commerce platforms automate the management of vast amounts of product data, improving the accuracy of product searches and recommendations, thereby enhancing user experience and satisfaction.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Lip Gloss Product Image Classification Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/598e249cbaef6480df78959cd8ee45e0?dataset_scene_id=9},
urldate={2025-09-15},
keywords={Lip Gloss Classification Dataset, Image Classification, E-commerce Image Data, Product Recognition, Deep Learning Dataset},
version={1.0}
}Using this in research? Please cite us.
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