Smoke and Fire Detection Videos Dataset
The dataset consists of videos containing fire and smoke scenes, varying in length and content. Each video frame is annotated with bounding boxes that localize instances of fire and smoke.
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- Videos
- 85
- Object Detection
- Computer Vision
- Machine learning
- Smart Cities
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- 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 |
Technical
Characteristics
Characteristic | Data |
Video extension | mp4 |
Extension of labeling file | JSON |
Industries
Security
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Wildfire Detection:
Early identification of fire outbreaks using drones and surveillance cameras.
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Urban Fire Monitoring:
Real-time smoke and flame detection in smart cities and industrial zones.
Mining and Oil & Gas
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Wellhead & Rig Monitoring:
Real-time flame/smoke detection on offshore platforms and land-based rigs to prevent blowouts.
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