Oat Milk Product Occlusion Image Dataset
#object detection #image segmentation #product recognition #image classification #inventory management
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-20
AI Analysis & Value Prop
The retail e-commerce industry is facing challenges in accurately identifying products in images where brand logos or packaging may be occluded. Existing solutions often struggle with the variability in occlusion types and the impact they have on image recognition accuracy. This dataset aims to address these specific challenges by providing a comprehensive collection of occluded product images featuring brands like Oatly, Silk, and Alpro. The data is collected using high-resolution cameras in controlled environments, ensuring optimal lighting and clarity. Quality control measures involve multiple rounds of annotations, consistency checks among annotators, and expert reviews to ensure high accuracy. The dataset is stored in JPEG format, organized by brand and occlusion type for easy access and analysis.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The number of identifiable target objects in the image. |
| object_type | string | The type of goods identified in the image, such as oat milk packaging, bottle caps, etc. |
| occlusion_level | string | The degree to which various objects in the image are occluded, for example: no occlusion, partial occlusion, full occlusion. |
| object_position | string | The position coordinates of the target within the image, such as a rectangle defined by (x, y, width, height). |
| background_complexity | string | The complexity of the image background, for example: simple, complex. |
| light_condition | string | The lighting conditions at the time the image was taken, such as: bright, dim. |
| image_clarity | string | The clarity of the image, for example: clear, blurry. |
| contrast_level | string | The contrast level of the image, for example: high contrast, medium contrast, low contrast. |
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 is the purpose of the Oat Milk Product Occlusion Recognition Image Dataset?
- The Oat Milk Product Occlusion Recognition Image Dataset aims to enhance the accuracy of product recognition systems in occluded situations.
- Which industries would use the Oat Milk Product Occlusion Recognition Image Dataset?
- The retail industry would use the Oat Milk Product Occlusion Recognition Image Dataset.
- How does the Oat Milk Product Recognition System handle occlusion issues?
- The system uses the Oat Milk Product Occlusion Recognition Image Dataset to more accurately recognize products in occluded situations.
- What type of dataset is the Oat Milk Product Occlusion Recognition Image Dataset?
- The Oat Milk Product Occlusion Recognition Image Dataset is an Object Detection dataset.
- Does the Oat Milk Product Occlusion Recognition Image Dataset contain any other types of data?
- No, the Oat Milk Product Occlusion Recognition Image Dataset only contains image data.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Oat Milk Product Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/517c936aa545f9d37c02bded1e704284},
urldate={2025-08-28},
keywords={oat milk dataset,product occlusion images,image recognition dataset,retail e-commerce dataset},
version={1.0}
}Using this in research? Please cite us.
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