Commercial Retail Theft Action Recognition Dataset
- Records
- 500 records
- Size
- 1.6G
- Format
- MP4/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
With the rapid development of the commercial retail industry, theft has caused significant losses to merchants. Existing monitoring systems often find it difficult to detect complex theft behavior in real-time, resulting in merchants being unable to take timely measures after losses occur. This dataset aims to assist researchers and developers in building efficient action detection models to meet this challenge by providing a large number of real commercial retail theft behavior videos. Data collection is conducted by deploying surveillance cameras in supermarkets, convenience stores, and clothing stores, capturing the behavior of real customers and staff. To ensure data quality, multi-round annotations and consistency checks are used, combined with expert reviews to ensure the accuracy of the annotations. The data is stored in MP4 format, and video files are organized by date and location.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
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 Retail Theft Action Recognition Dataset?
- The Retail Theft Action Recognition Dataset is a video dataset aimed at recognizing theft behavior in retail environments, specifically for applications in the security industry.
- In which industry is this dataset primarily used?
- This dataset is primarily used in the security industry to enhance the recognition and monitoring capabilities of theft behavior in retail environments.
- What modalities of data does this dataset contain?
- The Retail Theft Action Recognition Dataset contains video modalities of data, focusing on video understanding and analysis.
- How can this dataset be used in the security field?
- This dataset can be used to train and test automated video surveillance systems to recognize and detect suspicious theft behaviors in retail stores, thereby enhancing the efficiency of security measures.
- Why do retail environments need this type of dataset?
- Retail environments are complex and densely populated, prone to theft incidents. Using such datasets can help improve the speed and accuracy of recognizing and responding to theft, thereby reducing losses.
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Cite this Work
@dataset{Mobiusi2025,
title={Commercial Retail Theft Action Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/e55e5463a5338daad0df2005bd11f9cb?dataset_scene_id=10},
urldate={2025-09-15},
keywords={commercial retail, theft action recognition, security dataset, action detection, video surveillance},
version={1.0}
}Using this in research? Please cite us.