metadata
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
num_examples: 759
- name: validation
num_bytes: 75838884
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:
- 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