📺 Weekly Webinar - RF-DETR: How to Train SOTA for Object Detection on a Custom Dataset | Step-by-step guide

Show & Tell
1

img-blog-deep-learning-solves-frustrations (6)
img-blog-deep-learning-solves-frustrations (6)1200×731 613 KB

:television: Weekly Webinar - RF-DETR: How to Train SOTA for Object Detection on a Custom Dataset | Step-by-step guide

:play_button: Watch full YouTube video here: https://www.youtube.com/watch?v=-OvpdLAElFA

Master RF-DETR object detection with this step-by-step tutorial. RF-DETR is the current state-of-the-art object detection family of models, exceeding YOLO-based methods. From preparing datasets to training the model and deploying it in real applications, this guide covers everything. Learn to train in Google Colab or on the Roboflow Platform and build your own custom object detection model. Chapters:

  • 00:00 RF-DETR is SOTA Object Detector

  • 00:53 Setting Up Your RF-DETR Training Environment

  • 03:35 Inference with Pre-trained COCO Model

  • 06:02 Finding Free Annotated Datasets for RF-DETR

  • 08:54 Understanding COCO Annotation Format

  • 09:57 RF-DETR Training in Google Colab

  • 10:55 RF-DETR Training Hyperparameters

  • 13:48 Saving Your Fine-Tuned RF-DETR Model Weights

  • 16:11 Evaluating Your RF-DETR Model’s Performance in Google Colab

  • 19:14 Run Inference with Fine-tuned RF-DETR Model

  • 21:45 RF-DETR Training in Roboflow Platform

  • 23:08 Evaluating Your RF-DETR Model’s Performance in Roboflow Platform

  • 25:30 Conclusions

Resources:

Stay updated with the projects I’m working on at https://github.com/roboflow and https://github.com/SkalskiP! :star: