Learn How to Train Object Detection Models With MMDetection
Last Updated on August 28, 2023 by Editorial Team
Author(s): Leon Eversberg
Originally published on Towards AI.
A step-by-step tutorial on training state-of-the-art AI models with MMdetection 3.1, CVAT, and TensorBoard

This member-only story is on us. Upgrade to access all of Medium.
Terminal output of a running training process with MMDetection
If you want to train neural networks, you can use the popular deep learning libraries TensorFlow or PyTorch.
However, these days, there are a lot of frameworks that are built on top of these two that make the training process a lot more user-friendly.
If you just want to train a state-of-the-art model with your own dataset and not worry too much about the underlying details, one of these frameworks might be better suited for you.
MMDetection is a user-friendly toolbox based on PyTorch… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.