A cheat sheet to easy understand how the config files have to be set up to train YOLO using Darknet.
This Cheat sheet it's a recap of different files involved in setting up YOLO model using Darknet.
Starting off the command line you need to execute to start training your model, it explains which files are needed, what parameters need to be configured, the meaning of each parameter and where to place your data set and config files. It's based in Google Colaboratory notebook, but it can be ported to your local environment as well.
You can download the image here to expand.
If you have questions or suggestions, comment these right here!
EDIT: Some people asked me on Twitter what's YOLO. You can find a more detailed but basic explanation in this post