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Smoke and Fire Detection Videos Dataset

This smoke and fire detection dataset offers 85 high-quality RGB videos in MP4 format with JSON annotations, including frame numbers, object coordinates, and classes for fire and smoke. The dataset supports object detection, fire and smoke recognition, and computer vision tasks, enabling deep learning models for real-time monitoring, early detection, and efficient fire management under varied environmental conditions.

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  • Videos
    85
  • Object Detection
  • Computer Vision
  • Machine learning
  • Smart Cities

This smoke and fire detection dataset offers 85 high-quality RGB videos in MP4 format with JSON annotations, including frame numbers, object coordinates, and classes for fire and smoke. The dataset supports object detection, fire and smoke recognition, and computer vision tasks, enabling deep learning models for real-time monitoring, early detection, and efficient fire management under varied environmental conditions.

Get in touch Download sample
  • Object Detection
  • Computer Vision
  • Machine learning
  • Smart Cities
  • Videos
    85

Dataset Info

Characteristic Data
Description Videos with fire and smoke
Data types Video
Tasks Object Detection, Computer Vision
Number of videos 85
Marking Bounding Box
Number of files in a set part1: 19 videos x 1 min part2: 9 videos x 17 mins part3: 57 videos x 3 mins
Labeling Frame_num, width, height, objects with coordinates and classes
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Technical
Characteristics

Characteristic Data
Video extension mp4
Extension of labeling file JSON
Source and collection methodology: Data was collected by a partner of Unidata.

Dataset Use Cases

  • Forestry Management

    Early Wildfire Detection

    Smoke and Fire Detection Videos Dataset enables forestry authorities to detect wildfire occurrences promptly. With annotated RGB videos showing fire spreads and smoke detection, monitoring systems can track fire behavior, analyze environmental conditions, and provide real-time alerts. This supports efficient fire management, early suppression, and protection of forested areas.

  • Industrial Safety

    Monitoring Fire Hazards in Factories

    Industrial facilities can use this video dataset for fire recognition and smoke detection in manufacturing and storage areas. The dataset provides high-quality videos with bounding box annotations, enabling learning models to identify fire events quickly, reduce false alarms, and improve safety protocols while integrating real-time monitoring into existing detection systems.

  • Urban Emergency Response

    Supporting Fire and Smoke Response Teams

    Emergency services can use the dataset to train detection systems for fires in urban areas. By analyzing video surveillance and fire detection in different environments, responders can predict fire spreading, plan evacuation strategies, and optimize resource allocation. This dataset strengthens fire safety measures and enhances rapid emergency response capabilities.

  • Research and Development

    Training Deep Learning Fire Detection Models

    Researchers can utilize this dataset to develop and test advanced deep learning algorithms for fire recognition and smoke detection. With diverse video clips showing varying fire situations and environmental conditions, the dataset supports accurate model training, evaluation of detection algorithms, and improvement of video-based fire surveillance systems.

FAQs

What content is included in this fire detection dataset?
The dataset consists of 85 real-world video clips showing various fire events and smoke plumes. It includes a mix of short and long-duration sequences, capturing different fire behaviors and scenarios to provide comprehensive data for model training.
Can I evaluate a sample before purchasing the full fire surveillance dataset?
Yes, we provide free samples for evaluation. This allows you to assess the video quality, annotation accuracy, and the dataset's suitability for your fire recognition and smoke detection projects before committing to the full purchase.
What is the primary application of this fire and smoke video dataset?
This dataset is designed for developing and improving automated fire detection systems and computer vision models. It serves as essential training data for machine learning and deep learning algorithms focused on early fire recognition in video surveillance and monitoring systems.
What types of annotations are provided for model training?
Each video frame includes detailed bounding box annotations in JSON format. These labels precisely identify the location and class (fire or smoke) of objects, which is crucial for training accurate object detection and recognition systems.
How was this video data for fire detection collected?
The video sequences were collected by a trusted partner of Unidata.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model. Free samples are provided for trial and testing, while the complete datasets, including this comprehensive fire surveillance collection, are available exclusively through purchase.
Do Unidata datasets comply with data privacy regulations?
Yes. All datasets are curated in compliance with GDPR and applicable data protection laws. Data is collected from legally permissible sources to ensure ethical and lawful usage in your computer vision and machine learning projects.
How is the dataset stored and delivered?
Unidata stores all datasets securely on AWS cloud infrastructure, aligned with ISO 27001 and ISO 27701 standards. This guarantees a secure, reliable, and privacy-focused environment for handling all video data and annotations.
Still have questions about using Unidata datasets? Read our user-guides

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