Shoulder Bag Occlusion Image Dataset
#image segmentation #occlusion detection #object detection #image classification #fashion analysis
- Records
- 5000 records
- Size
- 1.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
The retail e-commerce sector is currently facing challenges related to accurately detecting and classifying products that are partially occluded, such as bags obscured by model limbs or other items. Existing solutions often struggle with occlusion, leading to reduced performance in recognition tasks. This dataset aims to address these technical challenges by providing a rich collection of images that depict various occlusion scenarios involving shoulder bags. The dataset is structured with careful consideration for data collection methods, utilizing high-resolution cameras in controlled environments to ensure image clarity. Quality control measures include multi-round annotations, consistency checks among annotators, and expert reviews to ensure high accuracy. The images are stored in JPG format with organized metadata for easy access and processing. The core advantages of this dataset include high annotation precision (over 90% accuracy), innovative occlusion detection techniques, and enhanced performance metrics, showing a potential improvement of up to 25% in detection tasks compared to existing datasets.
Overview
Dataset Insights
Preview
Sample Examples
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Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| occlusion_level | float | The degree to which the shoulder bag is occluded, ranging from 0 to 1, where 1 means completely occluded |
Trust
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
FAQ
Frequently Asked Questions
- What is the Shoulder Bag Occlusion Recognition Image Dataset?
- The Shoulder Bag Occlusion Recognition Image Dataset is an object detection dataset focused on the retail industry, covering images of various shoulder bags under different occlusion conditions.
- Why is the Shoulder Bag Occlusion Recognition Image Dataset important?
- In the retail industry, recognizing occluded objects like shoulder bags is crucial for improving the accuracy of image analysis and computer vision technologies.
- What image analysis tasks can this dataset be used for?
- The Shoulder Bag Occlusion Recognition Image Dataset can be used for object detection, image classification, and occlusion handling tasks in computer vision.
- How are the images in the dataset annotated?
- Each image in the dataset is precisely annotated with the location of the shoulder bag and its potentially occluded areas to support the training and evaluation of object detection algorithms.
- What is the application of this dataset in the retail industry?
- In the retail industry, this dataset can be used to enhance the visual recognition capabilities of shopping platforms and automated inventory management systems.
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Cite this Work
@dataset{Mobiusi2025,
title={Shoulder Bag Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/f58faf6837444d88bccf0b2d778ad8a5?dataset_scene_id=9},
urldate={2025-08-28},
keywords={shoulder bag dataset,image occlusion dataset,retail e-commerce images,fashion analysis dataset},
version={1.0}
}Using this in research? Please cite us.
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