@Roboflow
  @Roboflow
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
Deploy YOLOv8 via Hosted Inference APIHow To Do Object TrackingYOLO-World Live Coding & Community Q&A (Feb 27)Count People in Zone | Using YOLOv5, YOLOv8, and Detectron2 | Computer VisionWhat is NeuralHash? | Breaking Down Apples Content Moderation ControversyOpenCV Course: Roboflow OverviewWhats New in YOLOX?Model Evaluation for Computer VisionAccelerate Image Annotation with SAM and Grounding DINO | Python TutorialHow AI Protects My Garden from RabbitsInstance Segmentation in 12 minutes with YOLOv8 and PythonThe Best Way to Annotate Images for Object Detection

Deploy YOLOv8 via Hosted Inference API @Roboflow

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER