Run Segmentation with Pre-Trained Ultralytics YOLOv8 Model in Python | Episode 2
Join Nicolai Nielsen for Episode 2 of our exciting series on leveraging the power of Ultralytics YOLOv8 for object segmentation! In this video, Nicolai delves into the core concepts of object segmentation and showcases the impressive capabilities of the pre-trained YOLOv8 model for running real-time inference. You’ll learn how to set up the YOLOv8 model, run it from the command line, and see it in action with a webcam.
In this tutorial, Nicolai covers:
An introduction to object segmentation using YOLOv8
Step-by-step instructions for setting up the model in Python
Running inference modes directly from the command line
Real-time segmentation demonstration using a webcam
Tips on customizing the model for your specific applications
We’ll also explore key documentation to help you tailor YOLOv8 to your projects, ensuring you can harness the full potential of this state-of-the-art computer vision model. Whether you’re an AI enthusiast, a researcher, or a developer, this episode is packed with essential insights to elevate your AI projects.
🌟YOLO Vision 2024 (YV24), our annual hybrid Vision AI event is just days away! Happening on 27th September 2024 at Google for Startups Campus, Madrid.! Watch live on:
🔗 YouTube: • Video
🔗 Bilibili: https://live.bilibili.com/1921503038
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📖 Learn more:
Segmentation with Pre-Trained Ultralytics YOLOv8 Models in Python: https://www.ultralytics.com/blog/segm...
Running Ultralytics Object Detection and Segmentation Models in a Few Lines of Code: https://www.ultralytics.com/blog/runn...
Ultralytics Home: https://www.ultralytics.com
Ultralytics HUB: https://www.ultralytics.com/hub
#YOLOv8 #Ultralytics #ObjectSegmentation #AI #ComputerVision #MachineLearning #DeepLearning #RealTimeInference