Scene
Scene
A full-scene dataset ecosystem spanning real-world environments to digital domains.
Home & Indoor Office & Educational Healthcare & Medical Business & Public Service Industrial & Manufacturing Transportation & Driving Outdoor & Construction Nature, Aerial & Aquatic Virtul & Digital
Domain
Domain
A comprehensive dataset ecosystem spanning 16 major industries, empowering intelligence across diverse applications.
Industrial & Manufacturing Finance & Insurance Transport & Automotive Healthcare & Medical Smart Devices Law & Government Education & Training Agriculture & Food Retail & E-commerce Security & Protection Environment & Climate Energy & Resource Express & Logistics Sports General Data Content & Media Construction IT & Telecom Science & Research Language & Culture
Modality
Modality
A complete multimodal dataset system spanning text, image, audio, video, 3D, and more.
Audio Image Text Video Multi Document Time-Series 3D cloud Code Event Motion Interaction
Task
Task
A unified task suite spanning classification, detection, dialogue, prediction, and more.
Classification Detection Segmentation Tacking Estimation QA Recognition Control Extraction Retrieval Forecast

Home/General Data/Video Dataset for Predicting Crowd Congestion at Large Event Dismissals

Video Dataset for Predicting Crowd Congestion at Large Event Dismissals

#computer vision #time-series prediction #behavior recognition #crowd prediction #safety management #traffic control

Records: 500 records
Size: 1.3G
Format: MP4
Provider: MOBIUSI INC
Updated: v1.02026-11-04

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.

Overview

Dataset Insights

Preview

Sample Examples

648eee7f**.mp4|1920*1080|13.35 MB

8c894fe9**.mp4|1080*1920|6.17 MB

Schema

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.

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 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.

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{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_id=16},
  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.

placeholder

Scene

Domain

Modality

Task