This is a text version of this video: packagemain #5: Face Detection in Go using OpenCV and MachineBox. I found a very nice developer-friendly project MachineBox, which provides some machine learning tools inside Docker Container, including face detection, natural language understanding and few more. And it has SDK in Go, so we will build a program which will detect my face. We will also use OpenCV to capture video from Web camera, it also has Go bindings. MachineBox can be installed very easily by running Docker container.

I am a huge fan of not doing work. If there is ever anything I can do to remove difficult or high-friction things from my professional or personal life, then I will do it. I also have an insatiable scientific curiosity and I love exploring things like machine learning. Learning these new things doesn't feel like work to me, it feels like breathing fresh air. I love the beauty and elegance of the math behind how some of these models work and can be trained.

Fake news is both a problem for curators of user-submitted content and for ad-placement platforms. In April, Germany stated that it would fine social media €50 million for not taking down fake news. Facebook had more engagements on fake news stories during the US election than real news. Google lost millions of dollars as brands pulled ads over concerns of them appearing next to fake news and hate speech. This is why we are releasing newsbox.

Tagbox generates tags that describe the contents of an image or photograph. The best way to get started with tagbox is to use it. We've put together a tutorial that walks you through recognizing images. When you run tagbox, you'll have access to an interactive administration console that includes everything you need to get going; API documentation, working code examples, interactive components, and more.