Shampoo Product Occlusion Image Dataset
#image recognition #computer vision #deep learning #product testing #image classification #object detection
- 15000 records
- 3.1G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-17
AI Analysis & Value Prop
The retail e-commerce industry is facing challenges related to accurate product recognition in images, especially when occlusions occur due to packaging similarities among brands like Head & Shoulders, Pantene, and Dove. Existing solutions often struggle with misidentification and reduced accuracy, leading to poor user experience and lower sales conversions. This dataset aims to address the need for robust algorithms capable of detecting and classifying shampoo products even when partially obstructed. The data was collected using high-resolution cameras under controlled lighting conditions to ensure clarity and consistency. Quality control measures included multiple rounds of annotation, consistency checks among annotators, and expert reviews to maintain high standards. The data is organized in JPG format, with images categorized based on occlusion type and brand.
Dataset Insights
Sample Examples
7de344a2**.jpg|1280*1706|170.22 KB
a910320f**.jpg|1280*1706|239.76 KB
c70af92b**.jpg|1280*2276|486.87 KB
6f2efee2**.jpg|1280*1706|304.38 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| occlusion_level | string | The degree of occlusion of the product in the image, such as partial occlusion, complete occlusion, etc. |
| background_type | string | The type of background in the image, such as solid color, complex background, etc. |
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 Shampoo Product Occlusion Recognition Image Dataset?
- The Shampoo Product Occlusion Recognition Image Dataset is a target detection dataset specifically designed for the retail industry. It contains numerous images of shampoo products under various occlusion conditions to enhance the accuracy of recognition algorithms.
- What is the purpose of the Shampoo Product Occlusion Recognition Image Dataset?
- This dataset is used to train and test object detection algorithms to improve the ability to accurately recognize shampoo products in retail environments, especially when the products are partially occluded.
- What are the industry applications of this dataset?
- This dataset is primarily applied in the retail industry to help improve product recognition accuracy in shelf management, inventory detection, and customer shopping experiences.
- Why was shampoo chosen as the subject of this dataset?
- Shampoo products are often partially occluded or closely packed in retail settings, presenting a challenging recognition scenario that warrants research focus to enhance related technology.
- How can the Shampoo Product Occlusion Recognition Image Dataset be used to improve algorithm accuracy?
- By using this dataset for algorithm training and debugging, errors can be rectified while processing product images, thereby enhancing recognition accuracy, especially under occlusion scenarios.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Shampoo Product Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/324b61abc1a7a534afee848e7e2d432e},
urldate={2025-08-28},
keywords={shampoo image dataset,product occlusion dataset,computer vision,image recognition,retail e-commerce},
version={1.0}
}Using this in research? Please cite us.
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