Recovering global wildlife populations using machine learning

Recovering global wildlife populations using machine learning

Apr 08, 2021
|
38 views
Details
Machine learning plays a crucial role in surveilling and measuring the biodiversity of wildlife in a non-invasive way. Welcome to the first episode of People and Planet AI - a series dedicated to exploring how machine learning helps us learn about the biological variety and variability on earth. In this first episode, we show you how to create an image classification app for wildlife camera traps with the help of Dataflow and Google Cloud’s AI Platform Unified. Watch to learn how you can create an application that tracks wildlife biodiversity!

0:00 Background of this episode 00:42 Series ethos 01:04 Wildlife Insights case study 02:52 Hardware components 03:55 Software components to build ML Classification model 06:20 Examples of how the model performs 06:49 Uploading model into microcontrollers 06:53 Uploading new photos in the future 07:06 Create a species dashboard 07:18 Recap 07:29 What to do next 08:01 Tanya’s fun fact on using camera traps
Comments
loading...