This post provides a summary of some of the most important overhead imagery datasets for object detection. The aim of this post is to be a living document where I continue to add new datasets as they are released.

When working on complex projects, it’s essential to keep your code organized, maintainable, and reusable. This is where modular programming comes into play. Python provides a powerful way to structure and organize your code through the use of modules and packages.

Path problems are some of the most common and annoying problems machine learning engineers face, especially when frequently switching between operating systems. There are so many different issues ways to have path problems that no post could cover them all, but in this post, I’ll try to provide some background on possible issues and how to resolve them.

Path problems are some of the most common and annoying problems machine learning engineers face, especially when frequently switching between operating systems. There are so many different issues ways to have path problems that no post could cover them all, but in this post, I’ll try to provide some background on possible issues and how to resolve them. Whether you’re running scripts, installing new software, or managing Python projects, understanding how these paths work will save you countless hours of troubleshooting and configuration.

The post aims to show how to create Jupyter environments and how to debug any issues. It also provides some commands that are good for general debugging.

The post aims to show how to create Jupyter environments and how to debug any issues. It also provides some commands that are good for general debugging.

Sometimes I find it useful to be able to run Python commands right from the command line (without entering a Python console). Here are some ways I’ve found it useful.