Wildfire Prediction using Machine Learning
We are leading in developing innovative data, IoT, and AI solutions for partners across wildfire detection from around the globe.
Our projects. Solve problems with startups, NGOs, and mission-driven organizations.
Forest Fire Detection with Drone Camera Using Computer Vision and Artificial Intelligence Technology
Forest Fire Detection with Drone Camera Using Computer Vision and Artificial Intelligence Technology
This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow...
Detecting Forest Wood Fire using IoT Sensor Data
Detecting Forest Wood Fire using IoT Sensor Data
50 AI engineers collaborated for 8 weeks to analyze sensor data and test possible systemic data...
Applying Deep Learning to Detect Wildfires
Applying Deep Learning to Detect Wildfires
Brazilian startup Sintecsys hosted an eight weeks AI project to scale their wildfires detection...
Our partners. Startups, NGOs, and mission-driven companies in many countries build solutions with Omdena.
Latest articles. The insights and case studies from our projects.
Oct
2022
11
Series A Startup Dryad Networks leverages Omdena Top Talent AI Teams to Advance Early Wildfire Detection
Partner Interview What are the most recent successes from Dryad? Dryad recently closed €10.5m...
Artificial Intelligence For Wildfires: Scaling a Solution To Save Lives, Infrastructure, and The Environment
Artificial Intelligence For Wildfires: Scaling a Solution To Save Lives, Infrastructure, and The Environment
The Artificial Intelligence Imperative: Early Detection of Wildfires Founded in 2016, Sintecsys...
Detecting Wildfires Using CNN Model with 95% Accuracy
Detecting Wildfires Using CNN Model with 95% Accuracy
The Problem: Wildfires and a Convolutional Neural Network 2019 was marked by very big fires....
How to Prepare for a Junior Data Scientist Job in the Real World
How to Prepare for a Junior Data Scientist Job in the Real World
From nobodies to collaborating with global leaders. Working on an actual problem meant for...