Baseball Cap Occluded Images
#Object Detection #Image Classification #E-commerce #Fashion Recognition #Image Processing
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-18
AI Analysis & Value Prop
The retail e-commerce industry faces significant challenges in accurately identifying products in images, particularly when they are partially obscured. Current solutions often struggle with recognizing items like baseball caps when they block important visual cues such as logos. This dataset aims to address the technical issues related to occluded object detection in images, providing a rich resource for training models capable of understanding complex visual scenarios. The dataset was compiled using images sourced from various e-commerce platforms, captured under diverse lighting conditions and angles. Quality control measures include multi-round annotations, consistency checks, and expert reviews to ensure high accuracy and reliability. The images are stored in JPG format, organized in directories based on occlusion types to facilitate easy access and retrieval.
Dataset Insights
Sample Examples
c7625844**.jpg|1280*1189|373.84 KB
8ed21243**.jpg|1280*1706|404.47 KB
2c00ea7d**.jpg|1280*951|203.80 KB
58a03cac**.jpg|1280*873|246.08 KB
b7f01942**.jpg|1280*1706|544.62 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| cap_type | string | The specific type of baseball cap in the image, such as a duckbill cap or a flat brim cap. |
| occlusion_level | string | The degree of hat occlusion in the image, such as fully occluded, partially occluded, or not occluded. |
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 are the application scenarios for this dataset?
- This dataset is mainly used to improve the image recognition accuracy of baseball cap products on retail e-commerce platforms, aiding in the detection of cases where caps are obscured by other objects.
- How does the dataset assist machine learning models?
- This dataset can help machine learning models better recognize and classify obscured baseball caps, enhancing detection accuracy and precision.
- What are the features of the Baseball Cap Obstruction Recognition Image Dataset?
- The dataset focuses on the recognition challenges of baseball caps under different obstruction conditions, including scenarios where caps are partially or fully obscured.
- How can this dataset be used to optimize sales in the retail industry?
- Retailers can use this dataset to improve the accuracy of automated image annotations, better manage inventory and product displays, and enhance customer shopping experiences.
- How is the practicality of such a dataset reflected on e-commerce platforms?
- On e-commerce platforms, this dataset helps enhance the platform's ability to process product display images, ensuring that even obscured products can be accurately identified and classified.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Baseball Cap Occluded Images},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/36a205d31fc2cbfb5de09d478976ee9e},
urldate={2025-08-28},
keywords={Baseball Cap Dataset,Image Occlusion Dataset,E-commerce Image Analysis,Object Detection Dataset},
version={1.0}
}Using this in research? Please cite us.
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