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Real-Time Traffic Video Dataset

Real-Time Traffic Video Dataset is a traffic dataset featuring annotated video streams from traffic cameras at urban intersections and crosswalks, designed for vehicle detection, pedestrian detection, and traffic monitoring in real-time traffic scenarios with metadata on weather, time, and traffic events to support advanced traffic surveillance and traffic prediction models.

Get in touch Download sample
  • Videos
    500
  • Auto
  • Computer Vision
  • Machine learning
  • Object Detection
  • Smart Cities

Real-Time Traffic Video Dataset is a traffic dataset featuring annotated video streams from traffic cameras at urban intersections and crosswalks, designed for vehicle detection, pedestrian detection, and traffic monitoring in real-time traffic scenarios with metadata on weather, time, and traffic events to support advanced traffic surveillance and traffic prediction models.

Get in touch Download sample
  • Auto
  • Computer Vision
  • Machine learning
  • Object Detection
  • Smart Cities
  • Videos
    500

Dataset Info

Characteristic Data
Description Videos of fixed-angle urban traffic (intersections, crosswalks) for object detection tasks.
Data types Video
Tasks Detection, Classification
Number of video 500+
Marking Bounding Box
Labeling Metadata(time of day, weather (rain/snow/fog), vehicle/pedestrian counts, traffic light status)
Type of vehicles Light vehicles (cars) and heavy vehicles (minivan)
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Technical
Characteristics

Characteristic Data
Video Extension mp4
Extension of labeling file json
Video Duration 30 min - 1 hour
Video Resolution Min = 1920×1080
Source and collection methodology. Data was collected by parsing videos from various sources

Dataset Use Cases

  • Transportation Planning

    Optimizing Traffic Flows

    Real-Time Traffic Video Dataset provides extensive video streams from urban and highway traffic cameras, supporting traffic monitoring and traffic management initiatives. Researchers and planners can analyze vehicle counts, traffic density, and driving behaviors across real-world traffic scenarios, enabling data-driven decisions for road safety and transportation systems.

  • Autonomous Vehicles

    Training Vehicle Detection Models

    This traffic video dataset enables the development of object tracking and vehicle detection models for autonomous driving applications. With annotations including vehicle types, tracks, and speeds, AI systems can learn to identify real-time objects, traffic signals, and pedestrians, improving safety and decision-making in dynamic traffic scenes.

  • Traffic Safety and Surveillance

    Accident Detection and Incident Monitoring

    The dataset supports traffic surveillance by providing video sequences of traffic events, traffic accidents, and traffic signals in diverse conditions. Analysts can use this real-time traffic dataset to detect incidents, monitor traffic flows, and evaluate road segments, helping law enforcement and traffic authorities implement safety measures effectively.

  • Smart City Analytics

    Predictive Traffic Modeling

    Using the traffic and environmental dataset, urban planners can develop traffic predictions and forecast vehicle counts, traffic volumes, and congestion patterns. The dataset’s video clips and real-world data across different road types and weather conditions allow for training machine learning models that enhance urban traffic management and intelligent transportation systems.

FAQs

What is included in Real-Time Traffic Video Dataset?
The dataset consists of 500+ high-resolution MP4 videos, each 30 minutes to 1 hour long. It includes metadata such as time of day, weather conditions, vehicle/pedestrian counts, and traffic light status for each scene.
What types of annotations are provided?
Annotations include bounding boxes for vehicles and pedestrians, traffic light status, vehicle classification (light or heavy), and scene metadata for traffic density and environmental conditions.
Can I request a sample of the traffic video dataset before purchase?
Yes. Unidata provides free sample video clips so you can evaluate the quality, labeling format, and dataset structure before accessing the full collection.
What are the sources of data for this dataset?
Data is collected by parsing publicly available urban traffic videos from multiple sources, including traffic cameras and surveillance feeds, ensuring coverage of diverse real-world scenarios.
How was the traffic data collected?
Videos are collected by parsing urban traffic recordings from multiple sources, capturing fixed-angle intersections, crosswalks, and urban roads. The data is verified for quality and usability for detection and classification tasks.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model: free samples are available for testing and evaluation, while full datasets are available exclusively for purchase, covering both research and commercial applications.
How long does it take to receive the dataset?
After submitting a request and completing necessary documents, the dataset is delivered within 3–10 days following payment and agreement finalization.
How are Unidata datasets stored?
Datasets are securely stored on AWS cloud infrastructure, providing high availability and scalability. Storage and management comply with ISO 27001 and ISO 27701 standards, guaranteeing privacy and security.
Still have questions about using Unidata datasets? Read our user-guides

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