Sanitary Napkin Product Occlusion Image Dataset
#image segmentation #model training #object detection #image classification #inventory management
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-20
AI Analysis & Value Prop
The retail e-commerce industry faces challenges such as product identification under occluded conditions, which can lead to inaccuracies in inventory management and customer experience. Existing solutions struggle with effectively recognizing products when they are partially obscured, limiting the efficiency of automated systems. This dataset aims to address the specific technical issue of product occlusion detection by providing high-quality labeled images of sanitary napkins from brands like Always, Kotex, Sofy, and Stayfree. The dataset is structured to include images captured under various occlusion scenarios, ensuring comprehensive coverage of possible real-world situations. Data was collected using high-resolution cameras in controlled environments with consistent lighting to minimize variability. Quality control measures such as multi-round annotations and expert reviews were implemented to ensure high labeling precision. The dataset is organized in JPG format, with each image linked to its metadata in a structured manner.
Dataset Insights
Sample Examples
6c3f46ad**.jpg|1224*1632|126.97 KB
5eb943a3**.jpg|1280*960|176.00 KB
275176fd**.jpg|1709*720|127.31 KB
43808d1b**.jpg|1280*1706|339.79 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| obstruction_level | string | Describes the level of obstruction of sanitary napkin products in the image, such as unobstructed, partially obstructed, fully obstructed |
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 sanitary pad occlusion recognition image dataset?
- The sanitary pad occlusion recognition image dataset is focused on identifying images of sanitary pad products in occlusion scenarios in the retail industry, aiming to enhance product recognition capabilities on e-commerce platforms.
- What are the main applications of this dataset?
- This dataset is mainly applied in product recognition and recommendation systems for e-commerce platforms, aiding in enhancing automated product identification and inventory management capabilities.
- Why is a occlusion recognition dataset needed for sanitary pad products?
- Sanitary pad products may be partially occluded during retail display and purchase processes. An occlusion recognition dataset can help improve the recognition accuracy of machine vision systems in these cases.
- What types of images are included in the dataset?
- The dataset includes images of sanitary pad products with varying degrees of occlusion, such as fully visible, partially occluded, and heavily occluded images.
- How can the sanitary pad occlusion recognition image dataset be used for training?
- The dataset can be used to train deep learning models, enhancing the capability of automatic product recognition in complex scenarios, particularly in terms of accuracy under occlusion conditions.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Sanitary Napkin Product Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/3d84ee2d1a6015012a83fc4b6ce9b8ee},
urldate={2025-08-28},
keywords={sanitary napkin dataset,image occlusion dataset,retail e-commerce images,product detection dataset},
version={1.0}
}Using this in research? Please cite us.
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