Frozen Food Product Occlusion Image Dataset
#object detection #image classification #product recognition #image analysis #e-commerce applications
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-18
AI Analysis & Value Prop
In the current retail e-commerce landscape, the rapid growth of online grocery shopping has brought about challenges in accurately recognizing products, especially when they are occluded in images. Existing datasets often lack sufficient variety and quality for occluded products, leading to limitations in training robust image recognition models. This dataset addresses the need for a comprehensive collection of occluded frozen food product images, focusing on brands like Amy’s, Birds Eye, and Lean Cuisine. The dataset comprises images taken under varied lighting conditions and angles to enhance model training. Data is collected using high-resolution cameras in a controlled environment, ensuring consistent quality. Quality control measures include multi-round annotations, consistency checks, and expert reviews to maintain high accuracy. The dataset is organized in JPEG format for efficient storage and access.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| obstruction_percentage | float | The proportion of the product that is occluded in the image, expressed as a percentage. |
| frozen_food_type | string | The specific category of frozen food in the image, such as dumplings, glutinous rice balls, etc. |
| num_of_items | int | The number of frozen food products appearing in the image. |
| lighting_condition | string | The lighting conditions when the image was taken, which can be bright, dim, even, etc. |
| packaging_condition | string | The intact condition of the frozen food packaging in the image, such as intact, damaged, etc. |
| image_clarity | string | The clarity level of the image, such as clear, blurry. |
| background_type | string | The type of image background, which can be a white background, complex background, etc. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| 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 main purpose of the occluded frozen food image dataset?
- The dataset is used to identify and detect occlusion of frozen food products in retail environments to improve product management and recognition.
- How can the occluded frozen food dataset be applied in retail?
- Retailers can use the dataset to develop algorithms that enhance product display optimization and inventory management efficiency.
- What is the source of images in the occluded frozen food dataset?
- The images in the dataset are sourced from real product display environments in retail stores, capturing actual occlusion scenarios.
- What problems can be solved using the occluded frozen food dataset?
- This dataset can help resolve issues of product misidentification, inaccurate inventory, and improper shelf management.
- How does the occluded frozen food dataset enhance product recognition accuracy?
- The dataset provides images under various occlusion scenarios, aiding in training models to better recognize products under different occlusion levels.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Frozen Food Product Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/4a4b8d60683b8052c7b57c0595552889},
urldate={2025-08-28},
keywords={frozen food dataset,image occlusion dataset,e-commerce image analysis,product recognition dataset},
version={1.0}
}Using this in research? Please cite us.
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