Edge Impulse Experts / Surgery Inventory (Created by Eivind Holt) Public

The EON Tuner helps you find the most optimal architecture for your embedded machine-learning application. Clone this project to use the EON Tuner.

Target

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Vision

Arduino Nicla Vision (Cortex-M7 480MHz)

100 ms

128 kB

1024 kB

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General

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Click 'Run EON Tuner' to begin

Find the optimal architecture for your machine learning model

The EON™ Tuner will evaluate many candidate model architectures (selected based on your target device and latency requirements) concurrently to help you find the best performing architecture for your application.

The search process can take up to 6 hours to complete. While the EON Tuner is running you can view the progress on this page at any time.

Name

Run #1:

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Latency (ms)

Enterprise EON Tuner

The enterprise version of Edge Impulse offers more parallel EON Tuner jobs for faster results, a fully customizable search space and returns more model variants

We're always looking for ways to improve Edge Impulse. If you have any feedback, please let us know!

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You'll need a free Edge Impulse account to clone this project. Creating an account lets you add your own data, modify models, and join a community of thousands of embedded machine learning developers!

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Anyone on the internet can view and clone this project under the licence: Apache 2.0. Only invited users will be able to edit.

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