Roboflow | Deploy YOLOv8 via Hosted Inference API @Roboflow | Uploaded 1 year ago | Updated 10 minutes ago
[Video excerpt from How to Train YOLOv8: youtu.be/wuZtUMEiKWY]
Using Roboflow's pip package, you can upload weights from your YOLOv8 model to Roboflow. When you upload your weights, you will be able to use your model through our API.
Join us in this video to learn how to upload your model weights and prepare a production-ready API for your model in only a few lines of code.
Resources
What's New in YOLOv8: blog.roboflow.com/whats-new-in-yolov8
How to train a YOLOv8 object detection model: blog.roboflow.com/how-to-train-yolov8-on-a-custom-dataset
YOLOv8 Models and APIs: universe.roboflow.com/search?q=model:yolov8
Roboflow Notebooks, with tutorials on training models using YOLOv8: github.com/roboflow/notebooks
[Video excerpt from How to Train YOLOv8: youtu.be/wuZtUMEiKWY]
Using Roboflow's pip package, you can upload weights from your YOLOv8 model to Roboflow. When you upload your weights, you will be able to use your model through our API.
Join us in this video to learn how to upload your model weights and prepare a production-ready API for your model in only a few lines of code.
Resources
What's New in YOLOv8: blog.roboflow.com/whats-new-in-yolov8
How to train a YOLOv8 object detection model: blog.roboflow.com/how-to-train-yolov8-on-a-custom-dataset
YOLOv8 Models and APIs: universe.roboflow.com/search?q=model:yolov8
Roboflow Notebooks, with tutorials on training models using YOLOv8: github.com/roboflow/notebooks