Condiment Occlusion Image Dataset
- Records
- 5000 records
- Size
- 1.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
Overview
Dataset Insights
Preview
Sample Examples
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Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| bounding_box | json | The coordinates of the bounding box of the object in the image. |
| object_class | string | The identified category of the condiment. |
| occlusion_level | int | The degree to which the object is occluded, in a percentage from 0 to 100. |
| image_brightness | float | Overall brightness value of the image. |
| image_contrast | float | Overall contrast value of the image. |
| image_sharpness | float | The sharpness of the image. |
| image_saturation | float | The color saturation of the image. |
| object_count | int | The number of condiments identified in the image by text recognition. |
| background_complexity | int | The complexity of the background, used to assess the recognition difficulty. |
| angle_of_view | float | The viewing angle at the time of shooting. |
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 main purpose of the Sauce Product Occlusion Recognition Image Dataset?
- The main purpose of the sauce product occlusion recognition image dataset is to improve product recognition accuracy and address occlusion challenges in the e-commerce industry.
- Why is sauce product detection important in the retail industry?
- In the retail industry, sauce product detection is crucial for boosting product recognition accuracy, optimizing inventory management, and enhancing customer experience.
- How does this dataset help solve occlusion problems in e-commerce?
- This dataset aids in solving occlusion problems by providing images with various occlusion scenarios, offering samples for training and testing to improve model performance in occluded scenes.
- What is the role of Object Detection datasets in machine learning?
- Object Detection datasets are used to train machine learning models to recognize, locate, and label objects within images.
- What potential business values can be derived from using the sauce product occlusion recognition dataset?
- Using the dataset can optimize automated product recognition systems, thereby improving e-commerce platform efficiency, reducing human errors, and enhancing customer satisfaction.
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Cite this Work
@dataset{Mobiusi2025,
title={Condiment Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/de583411ac44f45ec28611a0dccb0815?dataset_scene_id=9},
urldate={2025-08-28},
keywords={condiment dataset,image recognition,occlusion dataset,retail e-commerce,object detection},
version={1.0}
}Using this in research? Please cite us.