forest-fire-dataset-and-preprocessing-guide

Here are 2 public repositories matching this topic...

thilak-r / Forest-fire-detection-using-YOLOv8

A real-time deep learning system powered by YOLOv8 for accurate fire and smoke detection across images, videos, and live webcam feeds. The system issues instant Telegram alerts when fire confidence surpasses a safe threshold. With a Flask-based interface and detailed model evaluation metrics, this solution enhances wildfire monitoring, early detect

flask deep-learning yolo forest-fire-detection forest-fire-prediction real-time-forest-fire-detection-using-yolov8 ai-based-wildfire-monitoring-and-prevention forest-fire-dataset-and-preprocessing-guide telegram-alert-system-for-fire-emergencies

Updated Nov 29, 2025
Jupyter Notebook

akpinaralper / Machine-Learning-Classification-Regression-Pipeline

Star

Dry Bean ve Algerian Forest Fires veri setleri üzerinde SVM ve XGBoost ile sınıflandırma ve regresyon analizi içeren kapsamlı makine öğrenmesi projesi.

python data-science machine-learning scikit-learn regression data-visualization xgboost classification model-evaluation real-world-data dry-bean-dataset forest-fire-dataset-and-preprocessing-guide

Updated Jan 22, 2026
Python

Improve this page

Add a description, image, and links to the forest-fire-dataset-and-preprocessing-guide topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the forest-fire-dataset-and-preprocessing-guide topic, visit your repo's landing page and select "manage topics."

Learn more

Provide feedback

Saved searches

Use saved searches to filter your results more quickly