Athletic Pants Occlusion Image Dataset
#object detection #image segmentation #fashion detection #product visibility #image recognition
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-16
AI Analysis & Value Prop
The retail e-commerce industry faces challenges related to product visibility, particularly with items like athletic pants that may be occluded by other objects. Current datasets often lack comprehensive representation of occlusions, leading to errors in automated systems. This dataset aims to address these issues by providing a rich collection of images featuring various occlusions, specifically focusing on scenarios like blurred pant hems and backpacks covering designs. The dataset was created by capturing images in controlled environments using high-resolution cameras, ensuring a diverse range of occlusion scenarios. Quality control measures included multi-round annotations and expert reviews to maintain high accuracy and consistency. Data is stored in JPG format, organized by categories of occlusion types.
Dataset Insights
Sample Examples
c5a9908c**.jpg|1224*1632|490.77 KB
bb2b3462**.jpg|1632*1224|147.42 KB
9c93721f**.jpg|1224*1632|298.45 KB
f3383822**.jpg|1224*1632|187.50 KB
9904710c**.jpg|1126*1938|117.67 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| occlusion_percentage | float | The proportion of track pants covered by other objects. |
| color | string | The main color of the track pants. |
| pattern | string | Whether there are patterns on the track pants, such as stripes, checks, etc. |
| orientation | string | The orientation of the track pants in the image, such as front, back, side. |
| fabric_material | string | The fabric material of the track pants, such as cotton, polyester. |
| brand_logo_visible | boolean | Whether the brand logo is visible in the image |
| wrinkle_level | string | The degree of wrinkles on the surface of the sweatpants, such as no wrinkles, slight wrinkles, severe wrinkles |
| lighting_condition | string | The lighting conditions when the image was taken, such as natural light, bright, dim |
| background_clarity | string | The clarity of the image background, such as clear, blurry |
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 is the main goal of the sports pants occlusion recognition image dataset?
- The main goal of this dataset is to solve the occlusion problem in the display of sports pants, enhancing the display effect.
- What types of images are covered in this dataset?
- The dataset primarily covers images of sports pants under various occlusion conditions.
- How can the retail industry utilize the sports pants occlusion recognition image dataset?
- The retail industry can use this dataset to train models that recognize occlusions during product display, improving the quality of product presentation.
- What specific display issues does this dataset help to solve?
- This dataset helps solve the problem of sports pants being occluded by other objects during display, making them difficult to identify.
- Why are images chosen as the modality for the sports pants occlusion recognition dataset?
- Images can capture occlusion details comprehensively, providing rich training data for object detection algorithms.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Athletic Pants Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/8f1d0f3fa19debf238c5f66982bce57d},
urldate={2025-08-28},
keywords={Athletic Pants Dataset,Occlusion Detection,Image Segmentation,Retail E-commerce Dataset},
version={1.0}
}Using this in research? Please cite us.
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