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## D-Fire: an image dataset for fire and smoke detection
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# D-Fire: an image dataset for fire and smoke detection
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**Authors:** Researchers from Gaia, solutions on demand ([GAIA](https://www.gaiasd.com/))
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### About
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## About
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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 20,000 images.
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<div align="center">
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<table>
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<tr><th>Number of images</th><th>Number of bounding boxes</th></tr>
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<tr><td>
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<tr>
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<th>Number of images</th>
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<th>Number of bounding boxes</th>
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</tr>
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<tr><td>
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| Category | # Images |
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| ------------- | ------------- |
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| Only fire | 1,164 |
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| Only smoke | 5,867 |
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| Fire and smoke | 4,658 |
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| None | 9,838 |
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| Category | # Images |
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| ------------- | ------------- |
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| Only fire | 1,164 |
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| Only smoke | 5,867 |
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| Fire and smoke | 4,658 |
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| None | 9,838 |
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</td><td>
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</td><td>
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| Class | # Bounding boxes |
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| ------------- | ------------- |
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| Fire | 14,692 |
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| Smoke | 11,865 |
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| Class | # Bounding boxes |
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| ------------- | ------------- |
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| Fire | 14,692 |
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| Smoke | 11,865 |
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</td></tr> </table>
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</td></tr>
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</table>
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</div>
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All images were annotated according to the YOLO format (normalized coordinates between 0 and 1).
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All images were annotated according to the YOLO format (normalized coordinates between 0 and 1).
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However, we provide the yolo2pixel function that converts coordinates in YOLO format to coordinates in pixels.
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***
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### Download
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## Some examples of labeled images
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<p align = "center">
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<img src="https://drive.google.com/uc?export=view&id=1TfxQUZd89zU7xYG3y0enivXk3rqI6sIj" width="auto" height="180"/>
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<img src="https://drive.google.com/uc?export=view&id=1OywHP44jNIy0uoA6O63VZPB1_Hi-sejK" width="auto" height="180"/>
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<img src="https://drive.google.com/uc?export=view&id=1mIvClp9fLnKURYrRoNab8b96FZCm3Zje" width="auto" height="180"/>
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</p>
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## Download
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* [Download D-Fire Dataset (only images and labels)](https://drive.google.com/drive/folders/1DWgsQLVgkkLM8m-VcugHNpD5WYDbjYp5?usp=sharing).
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* [Download some surveillance videos](https://drive.google.com/drive/folders/1P5TNDP7ZrWpIZ4v_Aav5hf3S9UII2ZKA?usp=sharing).
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* If you want more surveillance videos, please request your registration on our environmental monitoring website ["Apaga o Fogo!" (Put out the Fire!)](https://apagaofogo.eco.br/).
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* Data splitting is also available [here](https://drive.google.com/drive/folders/1Np_FC3MuuFJgV-z0FmZwS9YzsTKdyRGJ?usp=sharing).
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### Citation
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## Citation
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Please cite our paper in your publications if you use this dataset.
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