# Dataset Card for "SmokeFire"
Wildfires or forest fires are unpredictable catastrophic and destructive events that affect rural areas. The impact of these events affects both vegetation and wildlife.
This dataset can be used to train networks able to detect smoke and/or fire in forest environments.

## Data Sources & Description
- **This dataset consist of sample from two datasets hosted on Kaggle:**
  - [Forest Fire](https://www.kaggle.com/datasets/kutaykutlu/forest-fire?select=train_fire)
  - [Forest Fire Images](https://www.kaggle.com/datasets/mohnishsaiprasad/forest-fire-images)
- **The datasets consist of:**
  - 2525 **Fire** samples
  - 2525 **Smoke** samples
  - 2525 **Normal** samples
- **The dataset is splitted into:**
  - Train Set -> 6060 samples
  - Validation Set -> 756 samples
  - Test Set -> 759 samples

region:us
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Fire", "1": "Normal", "2": "Smoke"}}}}], "splits": [{"name": "train", "num_bytes": 166216842.46, "num_examples": 6060}, {"name": "test", "num_bytes": 89193578.0, "num_examples": 759}, {"name": "validation", "num_bytes": 75838884.0, "num_examples": 756}], "download_size": 890673915, "dataset_size": 331249304.46000004}}
TAGS
#region-us 

# Dataset Card for "SmokeFire"
Wildfires or forest fires are unpredictable catastrophic and destructive events that affect rural areas. The impact of these events affects both vegetation and wildlife.
This dataset can be used to train networks able to detect smoke and/or fire in forest environments.

## Data Sources & Description
- This dataset consist of sample from two datasets hosted on Kaggle:
  - Forest Fire
  - Forest Fire Images
- The datasets consist of:
  - 2525 Fire samples
  - 2525 Smoke samples
  - 2525 Normal samples
- The dataset is splitted into:
  - Train Set -> 6060 samples
  - Validation Set -> 756 samples
  - Test Set -> 759 samples

# Dataset Card for "SmokeFire"
Wildfires or forest fires are unpredictable catastrophic and destructive events that affect rural areas. The impact of these events affects both vegetation and wildlife.
This dataset can be used to train networks able to detect smoke and/or fire in forest environments. ## Data Sources & Description
- This dataset consist of sample from two datasets hosted on Kaggle:
  - Forest Fire
  - Forest Fire Images
- The datasets consist of:
  - 2525 Fire samples
  - 2525 Smoke samples
  - 2525 Normal samples
- The dataset is splitted into:
  - Train Set -> 6060 samples
  - Validation Set -> 756 samples
  - Test Set -> 759 samples
TAGS
#region-us 
 # Dataset Card for "SmokeFire"
Wildfires or forest fires are unpredictable catastrophic and destructive events that affect rural areas. The impact of these events affects both vegetation and wildlife.
This dataset can be used to train networks able to detect smoke and/or fire in forest environments. ## Data Sources & Description
- This dataset consist of sample from two datasets hosted on Kaggle:
  - Forest Fire
  - Forest Fire Images
- The datasets consist of:
  - 2525 Fire samples
  - 2525 Smoke samples
  - 2525 Normal samples
- The dataset is splitted into:
  - Train Set -> 6060 samples
  - Validation Set -> 756 samples
  - Test Set -> 759 samples
passage: TAGS
#region-us 
# Dataset Card for "SmokeFire"
Wildfires or forest fires are unpredictable catastrophic and destructive events that affect rural areas. The impact of these events affects both vegetation and wildlife.
This dataset can be used to train networks able to detect smoke and/or fire in forest environments.## Data Sources & Description
- This dataset consist of sample from two datasets hosted on Kaggle:
  - Forest Fire
  - Forest Fire Images
- The datasets consist of:
  - 2525 Fire samples
  - 2525 Smoke samples
  - 2525 Normal samples
- The dataset is splitted into:
  - Train Set -> 6060 samples
  - Validation Set -> 756 samples
  - Test Set -> 759 samples