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/git...
🗞️ 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-trai...
💻 MMDetection GitHub repository: https://github.com/open-mmlab/mmdetec...
🖼️ Double Twelve Dominoes object detection dataset: https://universe.roboflow.com/pip-tra...
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