3D Object Detection: Detect Vehicles in Panoramic Images
April 23rd, 2021

Applying commonly available Machine Learning-driven object detection frameworks to Panoramic images, 3D object detection steps, code and Mathematics behind it, to detect vehicles in traffic images, to increase road safety and prevent road accidents.   Author: Parit Me

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Using GeoSpatial Data Analytics: A Friendly Guide to Estimate Population
April 19th, 2021

  A friendly introduction to remote sensing and how-to guide on handling and visualizing geospatial data using Rasterio and Folium. Applying all code on Uganda, Africa, by using WorldPop data. Authors:  Johnny Lau, Albert Um   Prerequisites ❌ Limited knowle

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Uncovering Infrastructural Needs Using Topic Modelling and NLP
April 6th, 2021

  In the Omdena-ACET challenge, we turned to online information sources, such as social media, newspapers, scientific articles, and websites of institutions involved with infrastructure. Each source provides an abundance of information that’s not possible to anal

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Denoising Images: How to Use Autoencoders to Produce Clearer Images
April 4th, 2021

In this article, we take you into a friendly approach to denoising images and Denoising Autoencoders (DAEs), their architecture, their importance in deep learning models, how to use them with neural networks, and how they improve models’ results.   Authors: M

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Anomaly Detection on Mars  Using Deep Learning
March 28th, 2021

Anomaly detection on the surface of Mars has a few unique challenges. For example, finding publically available datasets like landing images, using deep convolutional networks and exploring the large variety of surface anomalies. Still, a team of 30+ engineers took on t

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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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