YOLO11: How to Train for Object Detection on a Custom Dataset | Step-by-step guide

Master YOLO11 object detection with this complete tutorial. From finding datasets to labeling images, training the model, and deploying it for real-world use, this guide has you covered. Learn to train on your local machine or Google Colab and get your custom object detection model up and running.

Chapters:

00:00:00 Introduction to YOLO11
00:00:55 Finding Free Annotated Datasets for YOLO11
00:02:14 Image Labeling for YOLO11
00:09:05 Setting Up Your Local YOLO11 Training Environment
00:15:44 Understanding YOLO Annotation Formats
00:27:22 Training YOLO11 Locally
00:34:03 YOLO11Training Hyperparameters
00:38:04 Evaluating Your YOLO11 Model's Performance
00:43:30 Running Inference with Your Trained YOLO11 Model
00:48:19 YOLOv11 Training in Google Colab
01:00:41 Saving Your Fine-Tuned YOLO11 Model Weights
01:04:32 Deploying Your YOLOv11 Model
01:11:07 Conclusion

Resources:

Roboflow: https://roboflow.com

⭐ Notebooks GitHub: https://github.com/roboflow/notebooks
⭐ Supervision GitHub: https://github.com/roboflow/supervision

🏞️ TFT-ID dataset: https://universe.roboflow.com/huyifei...

📓 YOLO11 object detection model training notebook: https://colab.research.google.com/git...

🗞 YOLO11 object detection model training blog post: https://blog.roboflow.com/yolov11-how...

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

#yolo #yolov11 #yolo11 #objectdetection