Check the preview of 2nd version of this platform being developed by the open MLCommons taskforce on automation and reproducibility as a free, open-source and technology-agnostic on-prem platform.
docker:image-classification-tflite.dashboard.ubuntu-18.04 (v2.0.3)
Creation date: 2019-06-05
Source: GitHub
cID: 88eef0cd8c43b68a:34b17b135b623246

Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!
Please report if this CK component works: 1  or fails: 0 
Sign up to be notified when artifacts are shared or updated!


This CK-powered container is our attempt to provide a common API to customize, build and run AI and ML applications with different models, frameworks, libraries, datasets, compilers, formats, backends and platforms. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!


MLPerf Inference - Image Classification - TFLite (Ubuntu 18.04): Dashboard

  1. Dashboard image (based on Ubuntu 18.04 latest)

NB: You may need to run commands below with sudo, unless you manage Docker as a non-root user.

Dashboard image


$ docker pull ctuning/image-classification-tflite.dashboard.ubuntu-18.04


$ ck build docker:image-classification-tflite.dashboard.ubuntu-18.04

NB: Equivalent to:

$ cd `ck find docker:image-classification-tflite.dashboard.ubuntu-18.04`
$ docker build -f Dockerfile -t ctuning/image-classification-tflite.dashboard.ubuntu-18.04 .



  1. Run a dashboard container with an interactive shell:
$ ck run docker:image-classification-tflite.dashboard.ubuntu-18.04

NB: Equivalent to:

$ docker run -it --publish 3355:3344 --rm ctuning/image-classification-tflite.dashboard.ubuntu-18.04
  1. Point your browser to http://localhost:3355/?template=dashboard&scenario=mlperf.mobilenets to listen to the server.


$ docker run -it --rm ctuning/image-classification-tflite.dashboard.ubuntu-18.04 bash




Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!