name: yolov8-custom-classification description: Use for Seeed Jetson topic "Train and deploy a custom classification model with YOLOv8". Includes local references and execution-safe workflow with prerequisites, commands, and validation checks.

Train and deploy a custom classification model with YOLOv8

Execution model

1. Confirm board model and JetPack/L4T version before applying commands.
2. Read references/source.body.md first to extract prerequisites and command order.
3. Execute steps in smallest reproducible sequence and record command outputs.
4. Validate final expected results and keep rollback notes.

Source

• Original markdown: /home/darklee/tmp/jetson-develop/refer-参考完后会清除/Application/Computer_Vision/YOLOv8_custom_classification_model.md
• Scope: application (Computer_Vision)

Topic summary

On this guide we will explain how to train and deploy a custom classification model with YOLOv8

Key sections

• Introduction
• Overview
• Materials Requirements
• Preparing the reComputer
• Training the model
• Creating the environment
• Exporting the model
• Inference
• ✨ Contributor Project
• Tech Support & Product Discussion

Reference files

• references/source.md
• references/source.body.md

Agent instruction

• Do not skip prerequisite checks.
• If command output differs from expected behavior, pause and ask user before destructive steps.
• Prefer reversible changes and include verification commands.