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D-Fire: an image data set for fire and smoke detection.

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D-Fire: an image dataset for fire and smoke detection

Authors: Researchers from Gaia, solutions on demand (GAIA)

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D-Fire is an image dataset of fire and smoke occurrences designed for machine learning and object detection algorithms with more than 21,000 images.

Number of images Number of bounding boxes
Category # Images
Only fire 1,164
Only smoke 5,867
Fire and smoke 4,658
None 9,838
Class # Bounding boxes
Fire 14,692
Smoke 11,865

All images were annotated according to the YOLO format (normalized coordinates between 0 and 1). However, we provide the yolo2pixel function that converts coordinates in YOLO format to coordinates in pixels.


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Citation

Please cite the following paper if you use our image database:

If you use our surveillance videos, please cite the following paper: