Hoodie Occlusion Image Dataset
#image classification #semantic segmentation #image recognition #object detection #e-commerce analysis
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-17
AI Analysis & Value Prop
The retail e-commerce industry faces significant challenges with product visibility and brand recognition due to occlusions caused by accessories, hair, or other objects. Current solutions often struggle with accurately identifying products when logos are obscured. This dataset aims to address these technical issues by providing a comprehensive collection of images with varied occlusions, which can help improve recognition algorithms. Data was collected using digital cameras in controlled environments, ensuring high-quality images. Each image underwent a rigorous multi-round annotation process, including consistency checks and expert reviews to maintain high standards. Images are stored in JPEG format, organized by categories based on the type of occlusion.
Dataset Insights
Sample Examples
d6dadc04**.jpg|1060*1885|92.33 KB
113375c9**.jpg|1358*1410|61.75 KB
014a5161**.jpg|1224*1632|119.97 KB
28786706**.jpg|1285*1555|152.56 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The number of target objects in the image, such as hoodies. |
| occlusion_level | string | The degree to which the hoodie is occluded in the image, such as partially occluded, severely occluded, etc. |
| object_position | string | Description of the position of the hoodie in the image, such as top-left corner, center, etc. |
| background_type | string | The type of background in the image, such as plain color background, indoor, outdoor, etc. |
| lighting_condition | string | The lighting conditions in the image, such as natural light, strong light, shadow, etc. |
| color_variation | string | The color situation of the hoodie, such as single color, mixed colors, etc. |
| texture_quality | string | The clarity and texture of the sweatshirt material, such as high quality, blurry, etc. |
| wrinkle_presence | boolean | Whether there are wrinkles on the surface of the sweatshirt. |
| brand_visibility | string | The visibility of the brand logo in the image, such as clearly visible, blurry, etc. |
| size_reference | string | Whether there are objects in the image used to reference the sweatshirt size, such as a reference object or a scale. |
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 types of images are included in the Hoodie Product Occlusion Recognition Image Dataset?
- The dataset primarily includes images displaying the occlusion scenarios of hoodie products to help detect and recognize occlusion issues.
- How to use the Hoodie Product Occlusion Recognition Image Dataset to improve recognition accuracy on e-commerce websites?
- By using this dataset to train object detection models, e-commerce platforms can more accurately identify and handle occlusions in product images, thus improving recognition accuracy.
- What research fields is the Hoodie Product Occlusion Recognition Image Dataset suitable for?
- This dataset is suitable for research in computer vision, particularly in the areas of object detection and occlusion processing technology.
- What problems faced by e-commerce platforms can be solved using the Hoodie Product Occlusion Recognition Image Dataset?
- This dataset can help e-commerce platforms solve common occlusion issues in product display images, thereby improving product display quality.
- What is the target object of the Hoodie Product Occlusion Recognition Image Dataset?
- The target objects of the dataset are hoodie products with occlusion features, used to enhance the ability of object detection models to handle occlusions.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Hoodie Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/fd915fc4c1d41b158ef1611d7a882fa7},
urldate={2025-08-28},
keywords={hoodie occlusion dataset,image dataset for e-commerce,product recognition dataset},
version={1.0}
}Using this in research? Please cite us.
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