Occluded Biscuit Product Image Dataset
#object detection #image classification #product recognition #image analysis #e-commerce applications
- Records
- 15000 records
- Size
- 4.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
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.
Overview
Dataset Insights
Preview
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
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| label | string | Category tags of products in the image. |
| occlusion_level | string | Description of the occlusion level of products 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 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.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
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}
}Using this in research? Please cite us.
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder