 Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle
 Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle 
 Wildfire image classification
 Developing machine learning models to classify and segment aerial images of wildfires for unmanned aerial vehicle (UAV) applications.
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
183 stars
 3 watching
 50 forks
 
Language: Python 
last commit: over 4 years ago 
Linked from   1 awesome list  
  classificationdatasetdnnfireimagerykerassegmentationtensorflowuav 
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|  | A Python-based computer vision library for detecting wildfires using deep learning models. | 52 | 
|  | Develops machine learning models to automatically detect wildfires from images | 7 | 
|  | A fire detection system using neural networks to identify and localize fires in images | 400 | 
|  | An active learning framework for annotating images and training machine learning models to detect wildlife in aerial images | 230 | 
|  | Downloads wildfire hotspots and associated data from NASA satellites | 34 | 
|  | Detects industrial smoke plumes from satellite images using machine learning models and remote sensing data. | 40 | 
|  | Develops and provides tools for detecting and identifying drones using their RF signals in real-time. | 87 | 
|  | Automated image segmentation of road and vehicle features from video data using the U-Net algorithm | 15 | 
|  | A multi-purpose dataset and code repository for training deep learning models to predict wildfire behavior in the Mediterranean region. | 46 | 
|  | Reimplements YOLO's real-time object detection system on drone images using Darknet | 154 | 
|  | A simulation environment used to train reinforcement learning agents to fight wildfires. | 31 | 
|  | Develops an object segmentation algorithm to detect camouflaged objects in images with varying backgrounds and contexts. | 20 | 
|  | Develops an efficient network architecture for semantic segmentation of high-resolution remote sensing images. | 34 | 
|  | Provides machine learning-based wildfire forecasting capabilities | 25 | 
|  | An image processing system for detecting and tracking objects in camera feed using HSV color thresholding. | 31 |