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In this presentation we present how to make use of the latest technical advancements in computer vision with an R setup even if they are...

Fast.ai in R: How to Make a Computer Vision Model within an R Environment

Fast.ai in R: How to Make a Computer Vision Model within an R Environment
In this presentation we present how to make use of the latest technical advancements in computer vision with an R setup even if they are originally implemented in Python.
Introduction & theory explanation with examples of object detection & image classification with YOLO algorithm & darknet.

YOLO Algorithm and YOLO Object Detection: An Introduction

YOLO Algorithm and YOLO Object Detection: An Introduction
Introduction & theory explanation with examples of object detection & image classification with YOLO algorithm & darknet.
In this article, we focus on the technical aspects of the machine learning solution we implemented for the xView2 competition. We used PyTorch to build...

Satellite Image Analysis with fast.ai for Disaster Recovery

Satellite Image Analysis with fast.ai for Disaster Recovery
In this article, we focus on the technical aspects of the machine learning solution we implemented for the xView2 competition. We used PyTorch to build our models for satellite image analysis and fast.ai to develop their critical parts.
 27 April 2020