This content is a summary of a step-by-step tutorial on training state-of-the-art AI models using MMdetection 3.1, CVAT, and TensorBoard. The tutorial is written by Leon Eversberg and was originally published on Towards AI. The tutorial explains how to train neural networks using MMDetection, a user-friendly toolbox based on PyTorch. The content also mentions that MMDetection is a good option for those who want to train models with their own datasets without worrying about underlying details. The full tutorial can be accessed for free on Medium.

source update: Learn How to Train Object Detection Models With MMDetection – Towards AI