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Taller práctico de visión por computadora: Entrenando tu propio modelo de YOLOv8

Taller orientado al entrenamiento de un modelo de detección de objetos con YOLOv8 en un conjunto de datos personalizado.

Dataset Sugeridos

Autor

🛠️ Construido con

Instalación

  • Se clona el repositorio de GitHub

    git clone https://github.com/ubiobio/TallerYolov8.git detector-script
  • Se ingresa a la carpeta del proyecto

    cd TallerYolov8
  • Se crea un entorno virtual

    python -m venv venv
  • Se activa el entorno virtual

    .\venv\Scripts\activate
  • Se instala los requerimientos del proyecto

    pip install -r requirements.txt
  • En la carpeta data ingresa las imagenes y su respectivo archivo .txt para el entrenamiento.

  • Se ejecuta el script

    python main.py

Licencia 📄

Este proyecto está bajo la GNU Affero General Public License v3.0 - mira el archivo LICENSE para detalles

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