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How to Train a Custom YOLOv8 Model Using an Existing Pipeline 🕷️
A comprehensive tutorial on training custom YOLOv8 models for object detection, covering everything from environment setup to model deployment. The guide includes practical tips for dataset preparatio
n, model training optimization, and deployment strategies, making it accessible for both beginners and experienced practitioners.

Reasons to Read -- Learn:

  • how to set up and train your own custom YOLOv8 object detection model using the ultralytics library, with step-by-step instructions for environment configuration and dataset preparation.
  • specific optimization techniques for YOLOv8 models, including data augmentation, hyperparameter tuning, and mixed precision training, which can significantly improve model performance.
  • practical deployment strategies for YOLOv8 models, including how to evaluate model metrics and implement inference on various devices, from GPUs to edge devices like Raspberry Pi.
  • 5 min readauthor: Priyanshu Rajput
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