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.
Pick a small issue you can reproduce, then fix it with your AI coding agent.
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
- 539
- 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 2026-11-08
More in AI agents and LLM tools
/last30days is an AI-agent skill for researching recent discussions across social platforms, video, news, markets, and the web. It brings scattered signals together in a synthesized brief for trend research and preparation.
Forked 2026-10-22Last synced 2026-11-08License: MITAI agents and LLM toolsGitHub
A portable C99 inference engine for running Kimi K3 on a CPU without a GPU or machine-learning framework. It streams the large checkpoint from disk to support inference with limited RAM, for batch text generation or text chat.
Forked 2026-10-21Last synced 2026-11-08License: Apache-2.0AI agents and LLM toolsGitHub
LayerFS gives AI agents writable workspaces over shared history, so they can work in parallel without copying the base. Use it to checkpoint, branch, rewind, and merge agent changes.
Forked 2026-10-21Last synced 2026-11-08License: MITAI agents and LLM toolsGitHub
Magnitude runs open models locally and tunes kernels for your hardware. Use it to connect local models to supported agents or an OpenAI-compatible client.
Forked 2026-10-19Last synced 2026-11-08License: Apache-2.0AI agents and LLM toolsGitHub