yolo-training-template
A template with tips and scripts for training a YOLO object detection model on a Kaggle dataset and running inference. Useful as a starting point for computer vision projects.
Share on XNo license declared
Overview
This repository is a template for training a YOLO object detection model on a Kaggle dataset and then running inference with the result. It includes a command-line training script, an inference script, a notebook version and a Streamlit web app. Optional preprocessing and NCNN export are available through flags. It is meant as a starting point for computer vision projects, so you can adapt the steps to your own data instead of building the whole pipeline from scratch.
Key features
- Command-line script to train YOLO on a Kaggle dataset
- Optional preprocessing and NCNN export flags
- Separate inference script for trained models
- Notebook template and Streamlit app for interactive use
Best for
Useful for anyone who wants a working YOLO training setup to adapt to their own computer vision task, including people who prefer a notebook or a web app over the command line.
- Upstream
- computer-vision-with-marco/yolo-training-template
- Fork on GitHub
- Guo-astro/yolo-training-template
- Upstream stars
- 510
- Category
- AI agents and LLM tools
- Language
- Python
- License
- No license declaredWithout a license, the author keeps all rights. Ask the upstream owner before reusing the code.
- Forked
- 2025-10-17
- Sync status
- In syncLast synced 2026-10-10
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