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
