Household Paper Products Occlusion Image Dataset
#image classification #object recognition #object detection #image segmentation #retail analysis
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
Currently, the retail e-commerce industry faces challenges in accurately detecting and categorizing household paper products due to varying packaging designs and occlusions in images. Existing datasets often lack diversity in terms of occlusion scenarios and packaging types, leading to reduced model performance in real-world applications. This dataset aims to address these issues by providing a comprehensive collection of images featuring various household paper products like Kleenex, Scott, Charmin, and Tempo, focusing on different occlusion conditions. Data is collected using high-resolution cameras in controlled environments, ensuring clarity and detail. Quality control measures include multi-round annotations, consistency checks, and expert reviews to maintain high annotation precision. The images are stored in JPG format, organized by product type and occlusion level, facilitating easy access and use in training algorithms.
Dataset Insights
Sample Examples
af8a8f30**.jpg|1280*1706|298.39 KB
3a8bdb8b**.jpg|1280*1431|336.24 KB
85cb1724**.jpg|1280*1593|285.55 KB
ca00f7be**.jpg|1280*1706|380.88 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The specific type of household paper items in the image, such as toilet paper, tissue paper, etc. |
| occlusion_level | float | The degree of occlusion of household paper items in the image, a real number between 0 and 1. |
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 types of images does the Household Paper Products Occlusion Recognition Image Dataset contain?
- The dataset mainly contains images of household paper products, such as toilet rolls and tissue boxes, including scenarios with partial occlusions.
- How to use the Household Paper Products Occlusion Recognition Image Dataset for training?
- You can use object detection algorithms such as YOLO or Faster R-CNN to train models for accurate recognition and localization of household paper products.
- What are the application scenarios of the Household Paper Products Occlusion Recognition Image Dataset?
- The dataset can be used in retail store intelligent shelving systems for automatic recognition of paper products, enhancing inventory management and product placement efficiency.
- What are the advantages of using the Household Paper Products Occlusion Recognition Image Dataset?
- Using this dataset can significantly improve the accuracy of household paper product recognition, even in occlusion situations.
- How does the Household Paper Products Occlusion Recognition Image Dataset handle occlusion issues?
- The dataset allows models to learn from occlusion scenarios in training samples, enhancing stability and accuracy in situations where products are partially obstructed.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Household Paper Products Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/1cd9c2ba9be906231977d0de517b7436?dataset_scene_id=9},
urldate={2025-08-28},
keywords={household paper products dataset,image dataset for e-commerce,object detection dataset,retail analysis images},
version={1.0}
}Using this in research? Please cite us.
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