Work Pants Occlusion Image Dataset
#classification #segmentation #detection #image recognition #object detection #fashion analysis
- 10000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
The retail e-commerce industry is currently facing challenges in accurately detecting and categorizing products that may be partially obscured by other items, such as tool bags or accessories. Existing solutions often struggle with precision in these scenarios, leading to missed opportunities in automated product recognition and inventory management. This dataset aims to address the technical issue of occlusion in images by providing a comprehensive collection of work pants images that include various types of obscured views. The data is collected using high-resolution cameras in controlled environments to ensure consistency, and quality control measures such as multiple rounds of annotation and expert reviews are implemented. The images are stored in JPG format, organized in a structured directory for easy access and processing.
Dataset Insights
Sample Examples
b2ad7321**.jpg|1280*1706|335.82 KB
e287842a**.jpg|1280*3674|441.20 KB
aafc610c**.jpg|1280*1706|374.92 KB
ee669838**.jpg|1280*1708|365.49 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_visibility | float | The percentage of the target object's visibility in the image, used to assess the degree of occlusion. |
| fold_presence | boolean | Determines whether the overalls are folded, affecting the accuracy of recognition and classification. |
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 Cargo Pants Product Occlusion Recognition Image Dataset?
- The Cargo Pants Product Occlusion Recognition Image Dataset is a collection of image data focusing on cargo pants in cases of occlusion and folding, intended to support product recognition in e-commerce.
- How is this dataset applied in the e-commerce industry?
- The dataset provides images of cargo pants in various occlusion scenarios to enhance product recognition capabilities on e-commerce platforms, thereby improving the shopping experience.
- What is the role of object detection datasets in the retail industry?
- Object detection datasets assist in automating product classification, inventory management, and enhancing search accuracy for customers, particularly when products are displayed in complex situations.
- Why is it important to handle occluded and folded product images on e-commerce platforms?
- Handling occluded and folded product images is important because they simulate real shopping perspectives, enhancing customer experience and accuracy, and reducing return rates.
- Can this dataset be used for training deep learning models?
- Yes, the Cargo Pants Product Occlusion Recognition Image Dataset can be used for training deep learning models, especially in object detection tasks, to improve accurate recognition of cargo pants.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Work Pants Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/a85b2e3dad73e38792b690d054c0af32},
urldate={2025-08-28},
keywords={work pants dataset,occlusion image dataset,retail e-commerce images,object detection dataset},
version={1.0}
}Using this in research? Please cite us.
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