Dockerfile-conda: Based on Miniconda3 with conda installation of ultralytics package.īelow are the commands to get the latest image and execute it:Īrguments must be passed as arg=val pairs, split by an equals = sign and delimited by spaces between pairs.Dockerfile-python: Minimal image with just Python and necessary dependencies, ideal for lightweight applications and development.Dockerfile-jetson: Tailored for NVIDIA Jetson devices, integrating GPU support optimized for these platforms.Dockerfile-cpu: Ubuntu-based CPU-only version suitable for inference and environments without GPUs.Dockerfile-arm64: Optimized for ARM64 architecture, allowing deployment on devices like Raspberry Pi and other ARM64-based platforms.Dockerfile: GPU image recommended for training.

Ultralytics offers 5 main supported Docker images, each designed to provide high compatibility and efficiency for different platforms and use cases: By choosing one of the official ultralytics images from Docker Hub, you not only avoid the complexity of local installation but also benefit from access to a verified working environment. Utilize Docker to effortlessly execute the ultralytics package in an isolated container, ensuring consistent and smooth performance across various environments.

Instal Coco