Master LLMs with our FREE course in collaboration with Activeloop & Intel Disruptor Initiative. Join now!


Learn How to Train Object Detection Models With MMDetection
Artificial Intelligence   Computer Vision   Data Science   Latest   Machine Learning

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

Feedback ↓