Video Dataset for Predicting Crowd Congestion at Large Event Dismissals
#computer vision #time-series prediction #behavior recognition #crowd prediction #safety management #traffic control
- 500 records
- 1.3G
- MP4
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
In modern cities, large gatherings and events are frequently held, often leading to crowd congestion during dismissals, presenting various safety risks. Current crowd management solutions mostly rely on experience and simple sensor devices, making it difficult to predict and manage congestion in real-time and accurately. This dataset aims to provide high-quality video data to aid in the development of more precise crowd prediction and management systems. The data is collected using high-definition cameras at iconic event locations in multiple cities, with equipment installed at key positions such as entrances and main corridors of event venues. The video data has undergone multiple rounds of annotation, including reviews and consistency checks by numerous experts. The annotation team consists of professional video analysts, with a team of over 30 people. Data processing includes steps such as video compression and frame rate adjustment to ensure efficient storage and quick retrieval. The final data is organized in MP4 format, accompanied by detailed annotation information stored in JSON format.
Dataset Insights
Sample Examples
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
| crowd_density | float | The average density of the crowd in the video, expressed as the number of people per square meter. |
| movement_direction | string | The main direction of crowd movement in the video, such as 'eastward' or 'westward'. |
| crowd_flow_rate | float | The number of people passing a certain point in the video per unit time. |
| average_speed | float | The average speed of the crowd movement in the video, measured in meters per second. |
| obstruction_presence | boolean | Indicates whether there are any obstructions to crowd movement in the video. |
| lighting_conditions | string | The lighting conditions in the video, such as 'bright' or 'dim'. |
| weather_conditions | string | The weather conditions when the video was recorded, such as 'sunny' or 'rainy'. |
| anomaly_events | string | Description of any anomalous events occurring in the video. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| 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 |
Frequently Asked Questions
- What is the Large Crowd Gathering Dispersal Congestion Prediction Video Dataset?
- The Large Crowd Gathering Dispersal Congestion Prediction Video Dataset is a video dataset used for predicting crowd congestion during the dispersal of large gatherings.
- What is the main purpose of this dataset?
- The primary purpose of this dataset is to analyze and predict crowd congestion during the dispersal of large gatherings, aiding in the development of effective congestion management strategies.
- Which industries can benefit from this dataset?
- This dataset is applicable to various industries requiring crowd prediction analysis, particularly in general daily sectors such as public safety and traffic management.
- What type of data does this dataset include?
- This dataset includes video data that records crowd activity during the dispersal of large gatherings for congestion prediction purposes.
- What challenges might one face when using this dataset?
- Challenges in using this dataset may include the complexity of processing video data and the computational demands of handling large-scale data.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Video Dataset for Predicting Crowd Congestion at Large Event Dismissals},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/8b79a4617895edf2ee01123d40e744a4?dataset_scene_cate_type=2},
urldate={2026-02-04},
keywords={crowd congestion prediction, large event, video dataset, computer vision, safety management},
version={1.0}
}Using this in research? Please cite us.
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