# Ultralytics YOLO 🚀, AGPL-3.0 license # Builds ultralytics/ultralytics:latest-jupyter image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics # Image provides JupyterLab interface for interactive YOLO development and includes tutorial notebooks # Start from Python-based Ultralytics image for full Python environment FROM ultralytics/ultralytics:latest-python # Install JupyterLab for interactive development RUN /usr/local/bin/pip install jupyterlab # Create persistent data directory structure RUN mkdir /data # Configure YOLO directory paths RUN mkdir /data/datasets && /usr/local/bin/yolo settings datasets_dir="/data/datasets" RUN mkdir /data/weights && /usr/local/bin/yolo settings weights_dir="/data/weights" RUN mkdir /data/runs && /usr/local/bin/yolo settings runs_dir="/data/runs" # Start JupyterLab with tutorial notebook ENTRYPOINT ["/usr/local/bin/jupyter", "lab", "--allow-root", "--ip=*", "/ultralytics/examples/tutorial.ipynb"] # Usage Examples ------------------------------------------------------------------------------------------------------- # Build and Push # t=ultralytics/ultralytics:latest-jupyter && sudo docker build -f docker/Dockerfile-jupyter -t $t . && sudo docker push $t # Run # t=ultralytics/ultralytics:latest-jupyter && sudo docker run -it --ipc=host -p 8888:8888 $t # Pull and Run # t=ultralytics/ultralytics:latest-jupyter && sudo docker pull $t && sudo docker run -it --ipc=host -p 8888:8888 $t # Pull and Run with local volume mounted # t=ultralytics/ultralytics:latest-jupyter && sudo docker pull $t && sudo docker run -it --ipc=host -p 8888:8888 -v "$(pwd)"/datasets:/data/datasets $t