Pet Food Product Occlusion Image Dataset
#object detection #image segmentation #product recognition #image classification #occlusion detection
- 15000 records
- 2.0G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The retail e-commerce industry faces challenges in accurately recognizing products due to occlusions in images, which can lead to misclassification and poor customer experience. Existing datasets often lack diversity in occlusion scenarios, limiting the effectiveness of machine learning models. This dataset aims to address the need for comprehensive training data that includes various occlusion conditions for pet food products from brands like Pedigree, Whiskas, Purina, and Royal Canin. The dataset is collected using high-resolution cameras in controlled environments, ensuring consistency and clarity. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to guarantee high data quality. The images are stored in JPG format organized by brand and occlusion level.
Dataset Insights
Sample Examples
0fe8c5c3**.jpg|1280*1706|475.61 KB
b055fea8**.jpg|1280*1705|315.26 KB
aeefa0b8**.jpg|1280*1000|217.86 KB
d3622642**.jpg|1280*1699|235.91 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| product_type | string | Recognizing the type or category of pet food in the image, such as cat food, dog food. |
| occlusion_level | string | Describing the degree to which objects in the image are occluded, such as partial occlusion, full occlusion, or no occlusion. |
| background_clutter | string | The complexity and clutter of the image background, such as simple or complex. |
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 Pet Food Product Occlusion Recognition Image Dataset?
- The Pet Food Product Occlusion Recognition Image Dataset is an object detection dataset used to help identify pet food products under occlusion conditions, widely used in image recognition tasks in the retail e-commerce sector.
- In which field is this dataset primarily used?
- This dataset is primarily used in the retail e-commerce sector, helping automate the identification and handling of occlusion issues in product images.
- What type of data does this dataset contain?
- This dataset contains images of pet food products with occlusions, along with corresponding object detection labels.
- How can this dataset be used for image recognition tasks?
- The dataset can be used to train object detection models, enabling intelligent recognition of pet food products, especially when parts of the products are occluded.
- Why is occlusion recognition important in the retail e-commerce sector?
- Occlusion recognition enhances the accuracy of product identification, reduces misclassification, and improves user shopping experience, playing a crucial role in automation and intelligence in the retail e-commerce sector.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Pet Food Product Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/e87d22510480e6a5cfc11efc2701ab50?dataset_scene_id=9},
urldate={2025-08-28},
keywords={pet food dataset,image occlusion dataset,retail e-commerce images,object detection dataset},
version={1.0}
}Using this in research? Please cite us.
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