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Road Traffic in Serbia, Videos and Images Dataset

This Serbian road traffic dataset contains 5,000 high-resolution (≥1080p) videos and annotated frame images with JSON bounding box annotations for vehicle detection and classification tasks. Collected from bridge vantage points, it provides detailed data on traffic flows, vehicle types (cars and minivans), and traffic density, supporting AI development for traffic prediction, road safety analysis, and computer vision model training.

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  • Video
    5,000
Serbia road traffic example 1
  • Auto
  • Detection
  • Data annotation
  • Machine Learning
  • Computer Vision

This Serbian road traffic dataset contains 5,000 high-resolution (≥1080p) videos and annotated frame images with JSON bounding box annotations for vehicle detection and classification tasks. Collected from bridge vantage points, it provides detailed data on traffic flows, vehicle types (cars and minivans), and traffic density, supporting AI development for traffic prediction, road safety analysis, and computer vision model training.

Get in touch Download sample
  • Auto
  • Detection
  • Data annotation
  • Machine Learning
  • Computer Vision
  • Video
    5,000

Dataset Info

Characteristic Data
Description Vehicles videos with labeling for detection tasks
Data types Video, image
Tasks Detection, Classification
Total number of files 5 000
Marking Bounding Box
Type of vehicles Light vehicles (cars) and heavy vehicles (minivan)
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Technical
Characteristics

Characteristic Data
Video Extension MOV
Image Extension jpg
Video Resolutions ≥ 1920 × 1080 px
Extension of labeling file JSON
Source and collection methodology: Data was collected by a smartphone from bridge vantage points and annotated by an assessor.

Dataset Use Cases

  • Urban Development

    Modeling Traffic Flows for Smarter City Planning

    This road traffic dataset can help urban planners analyze real traffic flows and congestion trends across major roads and intersections. Using detailed video data of vehicle types, speeds, and road conditions, cities can optimize road networks, manage daily traffic, and plan future infrastructure with precision.

  • Transportation Engineering

    Enhancing Road Safety and Network Efficiency

    Engineers can use this traffic dataset to study road conditions, traffic volumes, and vehicle movements under different scenarios. The dataset supports safety analysis, helping identify accident-prone areas and improve road segments. It also enables the simulation of traffic patterns for designing efficient, safer, and more sustainable transportation systems.

  • AI and Computer Vision Research

    Advancing Traffic Video Analysis and Prediction

    Researchers can use road traffic datasets to develop and train deep learning models for traffic video analysis and traffic prediction. With diverse scenes from highways and city roads, it supports applications such as vehicle detection, speed estimation, and congestion forecasting, contributing to smarter, AI-driven traffic management solutions.

  • Public Sector and Policy Making

    Supporting Data-Driven Transport Planning

    Government agencies can rely on this dataset to monitor traffic density, estimate travel times, and evaluate road network performance. The visual data enables evidence-based planning for public transport optimization, emission reduction policies, and long-term infrastructure investment, improving mobility and road safety across Serbia’s arterial roads.

FAQ

What is included in this dataset?
The dataset includes 5,000 high-definition traffic videos and corresponding frame images featuring light and heavy vehicles recorded under various road conditions. Each video and frame set is accompanied by JSON annotation data describing vehicle positions, bounding boxes, and movement patterns, enabling precise traffic analysis, vehicle detection, and AI model training for traffic monitoring and prediction.
Can I request a sample of the dataset before purchasing or downloading it?
Yes, Unidata provides free sample files for testing and evaluation. These samples allow you to verify video and image quality, annotation accuracy, and data structure before purchasing the full road traffic dataset.
Is it possible to request a custom dataset?
Yes. You can request a custom dataset tailored to your needs, including specific road types, vehicle categories, or traffic conditions. Our data team can collect or annotate videos to match your research or model training requirements.
How was the data collected?
Data was collected through video recordings of major and arterial roads across Serbia using high-resolution cameras. The data collection process followed consistent protocols to capture traffic flows, vehicle speeds, and road conditions representative of real-world traffic patterns.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model: free samples are available for trial and testing, while full datasets can be purchased for full access. This ensures flexibility for both academic research and commercial applications.
How are Unidata datasets stored?
All datasets are securely hosted on AWS cloud infrastructure, ensuring high availability, scalability, and data integrity. Unidata’s storage framework aligns with ISO 27001 and ISO 27701 standards, providing a privacy-focused and reliable environment for managing large traffic datasets.
How long does it take to receive the dataset?
After submitting a request, Unidata will contact you to finalize documentation and payment. Road Traffic in Serbia Dataset will be delivered within 3 to 10 days, depending on the dataset size and licensing terms.
Is this a real-world dataset or synthetic data?
Road Traffic in Serbia, Videos and Images Dataset is entirely real-world data collected from actual traffic environments. Unlike synthetic datasets, it captures authentic traffic volumes, road networks, and vehicle movements.
Still have questions about using Unidata datasets? Read our user-guides

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