integrations/tf-savedmodel/

[giscus[bot]]

integrations/tf-savedmodel/

Learn how to export Ultralytics YOLO11 models to TensorFlow SavedModel format for easy deployment across various platforms and environments.

https://docs.ultralytics.com/integrations/tf-savedmodel/

[UltralyticsAssistant]

👋 Hello, thank you for your interest in Ultralytics 🚀! We recommend a visit to the Docs for new users where you can find many helpful resources, including detailed guides on Integrations such as exporting to TensorFlow SavedModel format, which you can explore here.

If this is a 🐛 Bug Report, please share a minimum reproducible example to help us debug any issues with the TF-SavedModel export process.

If this is a custom integration ❓ Question, kindly include as much context as possible, such as the Python environment setup, specific steps attempted, and any logs or errors encountered during the export process.

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Upgrade

Ensure you are using the latest release of ultralytics and all required dependencies in a Python>=3.8 environment to avoid any outdated implementation issues. You can upgrade with:

pip install -U ultralytics

Environments

Run and evaluate YOLO in various verified environments with up-to-date dependencies:

• Notebooks with free GPU:
• Google Cloud Deep Learning VM: Follow the GCP Quickstart Guide for easy setup.
• Amazon Deep Learning AMI: Reference the AWS Quickstart Guide.
• Docker Image: Use the Ultralytics Docker image following this Docker Quickstart Guide .

Status

If this badge is green, all Ultralytics CI tests are passing. CI tests include routine validations for Tasks, Modes, and Integrations across multiple platforms.

This is an automated response to get you started. An Ultralytics engineer will follow up soon to assist further! 😊