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: almost 4 years ago
Linked from 1 awesome list
classificationdatasetdnnfireimagerykerassegmentationtensorflowuav
matthias84/awesome-flying-fpvRelated projects:
| Repository | Description | Stars |
|---|---|---|
 pyronear/pyro-vision | A Python-based computer vision library for detecting wildfires using deep learning models. | 52 |
 perceptilabs/wildfire-detection | Develops machine learning models to automatically detect wildfires from images | 7 |
 robmarkcole/fire-detection-from-images | A fire detection system using neural networks to identify and localize fires in images | 400 |
 microsoft/aerial_wildlife_detection | An active learning framework for annotating images and training machine learning models to detect wildlife in aerial images | 230 |
 datadesk/nasa-wildfires | Downloads wildfire hotspots and associated data from NASA satellites | 34 |
 hsg-aiml/industrialsmokeplumedetection | Detects industrial smoke plumes from satellite images using machine learning models and remote sensing data. | 40 |
 al-sad/dronerf | Develops and provides tools for detecting and identifying drones using their RF signals in real-time. | 87 |
 henyau/image-segmentation-with-unet | Automated image segmentation of road and vehicle features from video data using the U-Net algorithm | 15 |
 orion-ai-lab/mesogeos | A multi-purpose dataset and code repository for training deep learning models to predict wildfire behavior in the Mediterranean region. | 46 |
 chuanenlin/drone-net | Reimplements YOLO's real-time object detection system on drone images using Darknet | 154 |
 mitrefireline/simfire | A simulation environment used to train reinforcement learning agents to fight wildfires. | 31 |
 lartpang/ovcamo | Develops an object segmentation algorithm to detect camouflaged objects in images with varying backgrounds and contexts. | 20 |
 lironui/abcnet | Develops an efficient network architecture for semantic segmentation of high-resolution remote sensing images. | 34 |
| pyronear/pyro-risks | Provides machine learning-based wildfire forecasting capabilities | 25 |
 team3997/chickenvision | An image processing system for detecting and tracking objects in camera feed using HSV color thresholding. | 31 |