How to Use MMDetection | Train RTMDet on a Custom Dataset

Dive into the world of computer vision with this comprehensive tutorial on training the RTMDet model using the renowned MMDetection library. Whether you’re just starting out or looking to refine your skills, this guide offers a deep dive into the OpenMMLab ecosystem, hands-on installation steps, and practical insights into training on custom datasets.

Chapters:

– 00:00 Introduction
– 00:29 What is MMDetection and RTMDet
– 01:24 OpenMMLab Libraries Installation
– 04:54 Inference with Pre-trained COCO Model
– 08:14 Downloading a Dataset from Roboflow Universe
– 10:02 Preparing Custom MMDetection Configuration File
– 11:30 Train RTMDet and Analyze the Metrics
– 13:08 Evaluating the RTMDet Model with Supervision
– 14:24 Conclusions

Resources:

– 🌏 Roboflow: https://roboflow.com
– 📚 Roboflow Notebooks Repository: https://github.com/roboflow/notebooks
– 🌌 Roboflow Universe: https://universe.roboflow.com

– 📓 RTMDet Object Detection Google Colab: https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/train-rtmdet-object-detection-on-custom-data.ipynb
– 🗞️ RTMDet: An Empirical Study of Designing Real-Time Object Detectors Arxiv paper: https://arxiv.org/pdf/2212.07784.pdf
– 🗞️How to Train RTMDet on a Custom Dataset blog post: https://blog.roboflow.com/how-to-train-rtmdet-on-a-custom-dataset
– 💻 MMDetection GitHub repository: https://github.com/open-mmlab/mmdetection
– 🖼️ Double Twelve Dominoes object detection dataset: https://universe.roboflow.com/pip-tracker/double-twelve-dominoes

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