Fighting and Brawling Action Recognition Dataset
#Action Recognition #Behavior Analysis #Campus Safety #Commercial Area Monitoring #Bar Security #Subway Safety
- Records
- 500 records
- Size
- 1.7G
- Format
- MP4/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
AI Analysis & Value Prop
The current security industry is facing increasingly complex security risks, especially in public places such as campuses and commercial areas, where fighting incidents occur from time to time. Existing surveillance systems lack sufficient reaction speed to emergencies and efficient automatic recognition means. This dataset aims to solve the problem of automatic detection of fighting behaviors in real-time monitoring, improving the response efficiency of security personnel. The dataset contains diverse fighting scenarios sourced from environments like campuses, commercial areas, and bars, recorded using high-definition camera equipment to ensure video quality. During data collection, we strictly executed multiple rounds of annotation and consistency checks to ensure the accuracy and reliability of the annotations. The data is stored in MP4 format to facilitate subsequent processing and analysis.
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 applications is this dataset suitable for?
- The dataset is suitable for automatic behavior recognition in security surveillance systems, enhancing the accuracy and efficiency of security alerts.
- How is the video data in the dataset collected?
- The video data is typically collected through surveillance cameras or simulated scenarios to cover a variety of potential fighting situations.
- How to use this dataset for training machine learning models?
- The video clips in this dataset can be used to train deep learning models, which can automatically recognize and label fighting actions in the videos.
- What factors might affect the recognition of fighting actions?
- Lighting conditions, camera angles, and video resolution can affect recognition performance and may require adjustments in model training.
- What advantages does this dataset offer in improving security surveillance efficiency?
- Automatic detection and recognition of fighting behaviors can significantly reduce manual monitoring workload and enhance the response speed and accuracy of alerts.
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Cite this Work
@dataset{Mobiusi2025,
title={Fighting and Brawling Action Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/81f51dca5a8ccd8fa1f76981796bda1b?cate=4},
urldate={2025-09-15},
keywords={Fighting Recognition Dataset, Action Detection Dataset, Security Video Analysis, Campus Safety Monitoring},
version={1.0}
}Using this in research? Please cite us.
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