Wildfire-Detection
Wildfire detector
Develops machine learning models to automatically detect wildfires from images
Detecting wildfires from images
7 stars
4 watching
2 forks
last commit: about 3 years ago Related projects:
Repository | Description | Stars |
---|---|---|
pyronear/pyro-vision | A Python-based computer vision library for detecting wildfires using deep learning models. | 52 |
alirezashamsoshoara/fire-detection-uav-aerial-image-classification-segmentation-unmannedaerialvehicle | Developing machine learning models to classify and segment aerial images of wildfires for unmanned aerial vehicle (UAV) applications. | 177 |
microsoft/roaddetections | Automating road detection from aerial imagery using deep learning techniques. | 538 |
robmarkcole/fire-detection-from-images | A fire detection system using neural networks to identify and localize fires in images | 393 |
pyronear/pyro-risks | Provides machine learning-based wildfire forecasting capabilities | 25 |
datadesk/nasa-wildfires | Downloads wildfire hotspots and associated data from NASA satellites | 33 |
liushulinle/events_in_framenet | Provides data and mappings for leveraging FrameNet to improve automatic event detection in natural language processing | 2 |
rifkybujana/fnd | A machine learning-based system to predict whether news articles are fake or not | 8 |
ecmwfcode4earth/wildfire-forecasting | An open-source project that applies deep learning to forecast wildfire danger using earth observation data. | 50 |
information-fusion-lab-umass/salient-pedestrian-detection | An approach to improving pedestrian detection from thermal images using saliency maps and deep learning techniques. | 38 |
ignacio-rocco/detectorch | A PyTorch wrapper around Facebook AI Research's Detectron models for object detection and instance segmentation | 558 |
marcoscoffier/torch-saliency | A library for finding interest points in images using integral histograms and entropy-based saliency | 7 |
hsg-aiml/industrialsmokeplumedetection | Detects industrial smoke plumes from satellite images using machine learning models and remote sensing data. | 40 |
microsoft/aerial_wildlife_detection | An active learning framework for annotating images and training machine learning models to detect wildlife in aerial images | 230 |
masaiahhan/correlationqa | An investigation into the relationship between misleading images and hallucinations in large language models | 8 |