Condiment Product Occlusion Image Dataset
- Records
- 15000 records
- Size
- 3.4G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
Overview
Dataset Insights
Preview
Sample Examples
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Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The total number of condiment products in the image. |
| occlusion_level | string | The degree to which products are obscured, such as partially or completely blocked. |
| label | string | The labels or names of condiment products detected in the image. |
| bounding_box | json | Coordinate information of the bounding box for each product. |
| visibility | float | The proportion of the product actually visible in the image. |
Trust
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
FAQ
Frequently Asked Questions
- What is the condiment product occlusion recognition image dataset?
- The condiment product occlusion recognition image dataset is a specialized object detection dataset used to identify condiment products in the retail industry, assisting in recognizing these products when they are occluded in images.
- What are the applications of this dataset in the e-commerce field?
- In the e-commerce field, this dataset can be used to optimize image recognition and processing tasks, improving the display and retrieval accuracy of condiment products on e-commerce platforms.
- How does the condiment product occlusion recognition image dataset help improve product recognition rate?
- This dataset improves product recognition rates by providing a wealth of occlusion scenario images, which help train models to better identify partially occluded condiment products.
- How is the image information in this dataset annotated?
- The image information in this dataset is annotated using object detection techniques, with each condiment product labeled for its location, size, and occlusion status.
- Which industries or fields can benefit from this dataset?
- In addition to the retail and e-commerce industries, this dataset can also be used in image processing, computer vision, and AI research fields to improve the accuracy of related technologies and applications.
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Cite this Work
@dataset{Mobiusi2025,
title={Condiment Product Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/54cbbe86f83ed8c5b189707a151f7be0?dataset_scene_id=9},
urldate={2025-08-28},
keywords={condiment dataset,image occlusion dataset,retail e-commerce images,computer vision training dataset},
version={1.0}
}Using this in research? Please cite us.