YOLO26 Fine-Tuning | Detection and Instance Segmentation | Live Coding + Q&A (Jan 15th)

This stream shows how to fine-tune YOLO26 on a custom dataset from start to finish. You will train models for both object detection and instance segmentation. I will run full training in Google Colab with clear, copy-paste-ready code. I will then repeat the same process inside the Roboflow platform. You leave with a clear mental model and a working setup. Resources: - 📓 YOLO26 object detection model training notebook: https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/train-yolo26-object-detection-on-custom-dataset.ipynb - 📓 YOLO26 instance segmentation model training notebook: https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/train-yolo26-instance-segmentation-on-custom-dataset.ipynb - 🏞️ basketball player detection dataset: https://universe.roboflow.com/roboflow-jvuqo/basketball-player-detection-3-ycjdo - 🏞️ car part segmentation dataset: https://universe.roboflow.com/roboflow-jvuqo/car-part-detection-with-damage-part-ubaii Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐