MOBIUSI INC| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| jacket_color | string | The primary color of the outdoor jacket, which may include multiple colors. |
| jacket_brand | string | The brand of the jacket, identified by trademark or brand label. |
| jacket_type | string | The specific type of jacket, such as a shell jacket, trench coat, etc. |
| jacket_size | string | The size information of the jacket, such as S, M, L, etc., identified by the label. |
| jacket_pattern | string | Patterns that may exist on the jacket, such as stripes, checks, etc. |
| jacket_condition | string | The physical condition of the jacket, such as new, slightly worn, heavily worn, etc. |
| obscuring_objects | string | The type of object causing the jacket to be occluded, such as a bag, other clothing, etc. |
| jacket_features | string | Notable features on the jacket, such as zippers, pockets, hoods, etc. |
| background_scene | string | The type of background scene when the image is taken, such as urban, rural, indoor, etc. |
| 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 |

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@dataset{Mobiusi2025,
title={Outdoor Jacket Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/2bdb2e8eb7d8546aa9deca0858b4f93a?cate=2},
urldate={2025-08-28},
keywords={Outdoor Jacket Dataset,Occlusion Image Dataset,Retail E-commerce Images,Image Classification Dataset,Object Detection Dataset},
version={1.0}
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