Breakfast Cereal Product Occlusion Image Dataset

#object detection #image classification #product recognition #image segmentation #computer vision
Records
5000 records
Size
1.2G
Format
JPG/PNG/JSON
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-04
AI Analysis & Value Prop
The retail e-commerce industry faces significant challenges in accurately recognizing products that are partially occluded on shelves. Current solutions primarily focus on fully visible items, leading to a lack of robust models for occluded scenarios. The Breakfast Cereal Product Occlusion Image Dataset aims to bridge this gap by providing a diverse set of occluded images of popular brands like Kellogg's, Quaker, and Nestlé. This dataset features images collected under various conditions, using high-resolution cameras in retail environments that simulate real-world conditions. Quality control measures include multiple rounds of annotations, consistency checks, and expert reviews to ensure data accuracy. The dataset is organized in JPG format, with structured folders categorized by product types and occlusion levels.

Overview

Dataset Insights

Preview

Sample Examples

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Schema

Technical Specifications

file_namestringFile name
qualitystringResolution
cereal_typestringThe type of breakfast cereal products identified based on the image content.
occlusion_levelstringThe degree of obstruction of the cereal product in the image, such as unobstructed, partially obstructed, severely obstructed.
brand_namestringThe brand name of the breakfast cereal product.
package_colorstringThe main color of the breakfast cereal product packaging.
package_shapestringThe shape of the packaging of the identified breakfast cereal product.
position_in_framestringThe position description of the breakfast cereal product in the image, such as centered, top left corner, etc.
visibility_percentagefloatThe percentage of the breakfast cereal product visible in the image.

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 Breakfast Cereal Product Occlusion Recognition Image Dataset?
The Breakfast Cereal Product Occlusion Recognition Image Dataset is an image dataset designed to improve product recognition accuracy, containing images of breakfast cereal products with varying degrees of occlusion.
In which industry is the Breakfast Cereal Product Occlusion Recognition Image Dataset most widely applied?
The Breakfast Cereal Product Occlusion Recognition Image Dataset is most widely applied in the retail industry, primarily for improving product recognition accuracy.
How to use the Breakfast Cereal Product Occlusion Recognition Image Dataset for object detection?
You can use object detection algorithms to train and test on the Breakfast Cereal Product Occlusion Recognition Image Dataset to improve the recognition accuracy of products in images.
What contribution does the Breakfast Cereal Product Occlusion Recognition Image Dataset make to machine learning research?
This dataset provides practical training data for image object detection tasks in machine learning, with significant contributions to addressing partially occluded object recognition problems.

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Cite this Work

@dataset{Mobiusi2025,
  title={Breakfast Cereal Product Occlusion Image Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/a977409b27479c98e1ba116dac9b3ff1?dataset_scene_id=9},
  urldate={2025-08-28},
  keywords={breakfast cereal dataset,occlusion image dataset,retail e-commerce images,computer vision dataset},
  version={1.0}
}

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