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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': Fire |
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'1': Normal |
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'2': Smoke |
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splits: |
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- name: train |
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num_bytes: 166216842.46 |
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num_examples: 6060 |
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- name: test |
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num_bytes: 89193578.0 |
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num_examples: 759 |
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- name: validation |
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num_bytes: 75838884.0 |
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num_examples: 756 |
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download_size: 890673915 |
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dataset_size: 331249304.46000004 |
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--- |
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# Dataset Card for "SmokeFire" |
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Wildfires or forest fires are unpredictable catastrophic and destructive events that affect rural areas. The impact of these events affects both vegetation and wildlife. |
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This dataset can be used to train networks able to detect smoke and/or fire in forest environments. |
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## Data Sources & Description |
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- **This dataset consist of sample from two datasets hosted on Kaggle:** |
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- [Forest Fire](https://www.kaggle.com/datasets/kutaykutlu/forest-fire?select=train_fire) |
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- [Forest Fire Images](https://www.kaggle.com/datasets/mohnishsaiprasad/forest-fire-images) |
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- **The datasets consist of:** |
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- 2525 **Fire** samples |
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- 2525 **Smoke** samples |
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- 2525 **Normal** samples |
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- **The dataset is splitted into:** |
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- Train Set -> 6060 samples |
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- Validation Set -> 756 samples |
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- Test Set -> 759 samples |
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