WildFire-Smoke Detection Dataset for YOLO

This dataset is meticulously designed for the development of YOLO (You Only Look Once) object detection models aimed at recognizing smoke. It encompasses comprehensive training, testing, and validation splits that are essential for effectively training a model to identify and respond to the presence of wildfire smoke.

Key Features:
Purpose: Optimized for training YOLO object detection models.
Content: Includes organized data for training, validation, and testing phases.
Application: Essential for enhancing early detection systems for smoke, contributing to prompt and effective responses to potential wildfires.