Occluded Biscuit Product Image Dataset

#object detection #image classification #product recognition #image analysis #e-commerce applications
  • 15000 records
  • 4.2G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-04-14

AI Analysis & Value Prop

In the retail e-commerce sector, visual recognition systems are increasingly essential for automating product identification and enhancing customer experiences. However, many existing datasets lack sufficient examples of occluded products, which is a common occurrence in real-world scenarios. This dataset aims to address the challenge of recognizing partially obscured biscuit packages, such as Oreo, Bourbon, and TUC, by providing a diverse collection of images captured under various conditions. The dataset includes images taken in typical retail environments, ensuring relevance to real-world applications. Quality control measures include multiple rounds of annotations, consistency checks, and expert reviews to ensure high-quality annotations. The images are stored in JPG format, organized systematically for easy retrieval.

Dataset Insights

Sample Examples

ddc1a7fe**.png|1280*1305|1.70 MB

a4b9ed38**.png|963*1280|1.20 MB

89b5364b**.png|1280*1736|3.19 MB

bbb02029**.png|1280*1694|2.14 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
labelstringCategory tags of products in the image.
occlusion_levelstringDescription of the occlusion level of products in the image.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the purpose of the Biscuit Product Occlusion Recognition Image Dataset?
The Biscuit Product Occlusion Recognition Image Dataset is used to enhance the ability to recognize biscuit products in retail environments, particularly when products are partially occluded.
In which industries can this dataset be used?
This dataset is mainly used in the retail industry to enhance shelf product detection and recognition technology.
How does the Biscuit Product Occlusion Recognition Image Dataset improve product recognition capabilities?
By providing high-quality occlusion images, this dataset can train models to better recognize partially occluded biscuit products, thereby improving recognition capabilities.
Why is biscuit product recognition so important?
In the retail industry, correct product recognition aids in automated inventory management, customer service, and reducing human error, with biscuits being a common product category.
How does the retail industry use object detection technology to improve operational efficiency?
The retail industry can use object detection technology for automated inventory counting, shelf arrangement, and loss prevention measures to improve operational efficiency.

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Cite this Work

@dataset{Mobiusi2025,
  title={Occluded Biscuit Product Image Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/602aa2ae24feeba06ed484fc448b1be1?dataset_scene_id=9},
  urldate={2025-08-28},
  keywords={occluded biscuit dataset,image recognition,e-commerce dataset,product image occlusion,retail image dataset},
  version={1.0}
}

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