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))

GitHub

183 stars
3 watching
50 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list

classificationdatasetdnnfireimagerykerassegmentationtensorflowuav

Backlinks from these awesome lists:

Related 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 399
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