Through The Looking Glass: A Deep-Dive Into an Omdena Challenge
April 2nd, 2021

Wondering what it’s like to work on an Omdena challenge? Are you unsure of how you will be able to contribute? Don’t worry! Just walk through the looking glass (this article 😄) to enter the amazing world of collaboration and learning.   By Sneha Bahl  

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Detecting Weeds Through YolactEdge Instance Segmentation to Support Smart Farming
March 24th, 2021

By Thomas Joseph, Marjan Ghobadian Introduction In order to reach the precise classification and location of crop and weeds for smart farming, several methods such as instance and semantic segmentation are applied. The target is to reach not only high accuracy regarding

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Increasing Solar Adoption in the Developing World through Machine Learning and Image Segmentation
April 29th, 2020

  The problem How to Increase Solar Adoption in the developing world through Image Segmentation? Applied in India. Machine Learning can bring a new era in the clean energy sector. This article describes how to identify rooftops from satellite images to find suitabl

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Detecting Wildfires Using CNN Model with 95% Accuracy
April 28th, 2020

How wildfires detection company Sintecsys leveraged Omdena’s community to build a fire detection algorithm in two months using AI and a CNN Model.     The Problem: Wildfires and a Convolutional Neural Network 2019 was marked by very big fires. Not only the Notredame

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Satellite Image Analysis to Identify Trees and Prevent Fires
April 26th, 2020

The project goal was to build a Machine Learning model for tree identification on satellite images. The solution will prevent power outages and fires sparked by falling trees and storms. This will save lives, reduce CO2 emissions, and improve infrastructure inspection.

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