|
--- |
|
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 |
|
--- |
|
# 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 |
|
|