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Cars Object Tracking Dataset

This car detection dataset provides large-scale videos of light and heavy vehicles annotated with precise bounding boxes, offering high-quality training data for car detection, vehicle tracking, object recognition, and autonomous driving applications in real-world traffic scenarios.

Get in touch Download sample
  • videos
    10,000+
Example of labeling for the images
  • Auto
  • Detection
  • Data annotation
  • Computer Vision
  • Machine learning

This car detection dataset provides large-scale videos of light and heavy vehicles annotated with precise bounding boxes, offering high-quality training data for car detection, vehicle tracking, object recognition, and autonomous driving applications in real-world traffic scenarios.

Get in touch Download sample
  • Auto
  • Detection
  • Data annotation
  • Computer Vision
  • Machine learning
  • videos
    10,000+

Dataset Info

Characteristic Data
Description Vehicles videos with labeling for detection tasks
Data types Video
Tasks Detection, Classification, OCR
Number of video 10,000+
Marking Bounding Box
Type of vehicles Light vehicles (cars) and heavy vehicles (minivan)
Example of the images in the dataset
Example of labeling for the images
Download sample

Technical
Characteristics

Characteristic Data
File extension png
Extension of labeling file xml
Source and collection methodology. Data was collected by parsing videos from various sources

Dataset Use Cases

  • Autonomous Driving

    Improving Vehicle Detection for Self-Driving Systems

    Cars Object Tracking Dataset is widely used to train computer vision models for autonomous vehicles. It includes real-world traffic scenes with annotated bounding boxes and multiple vehicle types, helping improve tracking accuracy, object detection, and motion prediction essential for safe navigation in self-driving systems.

  • Traffic Management & Surveillance

    Enhancing Road Monitoring and Analysis

    This dataset supports traffic analytics by providing diverse car tracking data captured in various lighting and weather conditions. It helps develop systems that automatically detect and count vehicles, monitor flow, and identify congestion patterns, supporting smarter traffic management and real-time surveillance applications.

  • Computer Vision Research

    Benchmarking Object Detection and Tracking Models

    Researchers use the dataset to test and evaluate detection algorithms and tracking methods. With detailed annotations and consistent labeling, it serves as a benchmark for improving multi-object tracking, image classification, and semantic segmentation in complex urban scenes.

  • Smart Transportation Systems

    Developing Intelligent Vehicle Recognition Solutions

    The dataset helps build AI models that recognize, classify, and follow vehicles in motion. Its diverse samples of cars in real-world environments allow developers to enhance recognition software for automated tolling, parking systems, and transportation analytics.

FAQs

What is included in this dataset?
Cars Object Tracking Dataset includes more than 10,000 labeled vehicle videos featuring both light and heavy vehicles. Each file includes bounding box annotations for every object, providing a rich training dataset for object detection and tracking models.
What types of annotations are provided?
The dataset contains XML-based bounding box annotations that mark the position and size of vehicles in each frame. These labels enable accurate object localization, essential for vehicle tracking, instance segmentation, and recognition tasks.
What are the sources of data for Unidata datasets?
All Unidata datasets are collected from legitimate and ethical sources. Cars Object Tracking Dataset was compiled by parsing and labeling videos from diverse traffic and surveillance sources to ensure a wide representation of real-world vehicle scenarios.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model. Free samples are provided for testing and evaluation, while full datasets are available exclusively for purchase for research, training, or commercial use.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All Unidata datasets are curated in full compliance with GDPR and related data protection regulations. Data collection is performed only through lawful and ethical methods, ensuring privacy and security throughout the process.
How are Unidata datasets stored?
All Unidata datasets are hosted on AWS cloud infrastructure, ensuring high availability, scalability, and data security. The system adheres to ISO 27001 and ISO 27701 standards, providing a robust, compliant environment for AI and computer vision training data.
How long does it take to receive the dataset?
After submitting a request, Unidata will contact you to confirm details and finalize documentation. Once payment and agreements are complete, Cars Object Tracking Dataset will be delivered securely within 3–10 business days.
Is this a real-world dataset or synthetic data?
Cars Object Tracking Dataset is a real-world dataset created from actual traffic footage. It captures realistic driving environments, diverse lighting conditions, and vehicle movements, offering authentic data for detection and tracking research.
Still have questions about using Unidata datasets? Read our user-guides

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