Canned Food Product Occlusion Image Dataset
#Object Detection #Image Segmentation #Product Recognition #Occlusion Handling #Image Classification
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-23
AI Analysis & Value Prop
The canned food retail industry faces challenges in accurately recognizing products that are partially occluded on shelves, impacting inventory management and sales optimization. Existing solutions often struggle with occlusion scenarios, leading to misidentification and stock discrepancies. This dataset aims to address these technical challenges by providing a comprehensive collection of images depicting various canned food products, including brands like Campbell’s, Del Monte, and Goya, under different occlusion conditions. Data was collected using high-resolution cameras in retail environments, ensuring a realistic representation of shelf layouts. Quality control measures included multi-round annotations by trained personnel, consistency checks, and expert reviews to guarantee the accuracy of labels. The dataset is stored in JPG format, organized into categorized folders for easy access.
Dataset Insights
Sample Examples
8de39699**.jpg|1224*1632|163.93 KB
b9360701**.jpg|961*2080|184.61 KB
a60c6f3b**.jpg|1224*1632|253.10 KB
7b28cede**.jpg|1921*2649|1.57 MB
20675ad3**.jpg|1060*947|171.53 KB
0812f2ef**.jpg|1224*1632|156.29 KB
5d2e8a1f**.jpg|500*375|64.32 KB
a352a441**.jpg|1271*1573|231.71 KB
695f2337**.jpg|1068*1872|270.98 KB
d95e8e68**.jpg|1224*1632|94.77 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| product_type | string | The specific type of canned food, such as vegetable cans, fruit cans, etc. |
| brand_name | string | The brand name of the canned food product. |
| occlusion_level | string | The degree of occlusion of canned goods in the image, such as slightly occluded, partially occluded, completely occluded, etc. |
| label_position | string | The position of the canned food label in the image. |
| num_products | int | The number of canned food products appearing in the image. |
| image_brightness | float | The brightness value of the image. |
| image_contrast | float | The contrast value of the image. |
| background_type | string | The type of background in the image, such as a white background, natural environment, supermarket shelf, etc. |
| damage_level | string | The degree of damage to canned food products, such as undamaged, slightly damaged, severely damaged, etc. |
| label_visibility | string | The visibility of canned food labels in the image, such as fully visible, partially visible, not visible, etc. |
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 canned food product occlusion recognition image dataset?
- The canned food product occlusion recognition image dataset is an object detection dataset that contains diverse images of canned food products in various occluded situations to help improve the performance of recognition algorithms.
- What is the purpose of the canned food product occlusion recognition image dataset?
- The purpose of this dataset is to enhance the ability of recognition algorithms to detect canned food products under occluded conditions, thereby improving the accuracy of classification and recognition.
- How can the canned food product occlusion recognition image dataset be applied to improve algorithm performance in the retail industry?
- This dataset can be used to train object detection models to be more accurate in handling common product occlusion issues in the retail industry, enhancing the efficiency of inventory management and automated recognition.
- Which technologies can benefit from the canned food product occlusion recognition image dataset?
- Technologies involving image recognition, computer vision, and artificial intelligence can benefit from this dataset, especially applications that involve recognizing and classifying items in complex environments.
- Why does the retail industry need the canned food product occlusion recognition image dataset?
- The retail industry needs such a dataset to address the issue of recognition errors caused by product occlusion, ensuring accurate inventory management and customer self-checkout experiences.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Canned Food Product Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/b41c4191472c43cbbc8f2746106c972a?dataset_scene_id=9},
urldate={2025-08-28},
keywords={Canned Food Dataset,Occlusion Image Dataset,Retail E-commerce Images,Product Recognition Dataset},
version={1.0}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder