Laundry Detergent Occlusion Image Dataset
#Image Classification #Object Detection #Segmentation #Object Detection #Image Recognition #Adversarial Training
- 15000 records
- 2.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-06-21
AI Analysis & Value Prop
The retail e-commerce sector faces significant challenges due to the increasing competition and the need for effective product recognition under various conditions. Existing solutions often struggle with the accurate detection of products when they are partially occluded, leading to poor customer experiences. This dataset aims to address the technical issue of object detection under occlusion conditions, specifically for laundry detergent products like Tide, Persil, Ariel, and All. The dataset is structured to facilitate the training and evaluation of models in adversarial scenarios. Data is collected using high-resolution cameras in controlled lighting environments, ensuring consistency and quality. Quality control measures include multi-round annotations, consistency checks, and expert reviews to maintain high standards. Data is organized in a JPEG format with structured metadata for easy access and usage.
Dataset Insights
Sample Examples
2bf6b833**.jpg|1280*1706|286.36 KB
64976e41**.jpg|1280*960|337.62 KB
49d1bd19**.jpg|1280*1706|549.59 KB
a988819e**.jpg|1280*1706|243.46 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| occlusion_level | float | The degree to which the product is occluded in the image, expressed as a percentage. |
| background_clutter | int | Whether there are distracting elements in the background, rated from 1 to 10. |
| product_position | string | The position of the laundry detergent in the image, for example, 'Top Left Corner'. |
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 laundry detergent product occlusion recognition image dataset?
- The laundry detergent product occlusion recognition image dataset is an object detection dataset that includes occluded images of multi-brand laundry detergents, aimed at enhancing the accuracy of product recognition.
- What is the purpose of this dataset?
- This dataset is used to improve the accuracy of laundry detergent product recognition in occluded situations within the retail industry.
- What data modality does the dataset cover?
- The dataset covers image data modality to facilitate object detection and recognition.
- Which industry does the laundry detergent product occlusion image dataset belong to?
- The dataset belongs to the retail industry, focusing on the recognition and detection of laundry detergent products.
- How does this dataset improve product recognition accuracy?
- By providing occluded images of various brands of laundry detergent, the dataset enables models to train on recognizing products in occluded situations, thus improving recognition accuracy.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Laundry Detergent Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/279eaab6e3f1506256b63b6e04126545?cate=2},
urldate={2025-08-28},
keywords={Laundry Detergent Dataset,Occlusion Image Dataset,Retail E-commerce Data,Image Recognition,Object Detection},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder