Automatic separation of objects in images containing multiple plankton organisms


Published by DEEP-Hybrid-DataCloud Consortium
Created: - Updated:

Model Description

Build Status

multi_plankton_separation is an application using the DEEPaaS API.

It provides a trained model to detect each object on multiple plankton images, and return the separation lines.

It is not possible to train a new model with this module.

Test this module

You can test and execute this module in various ways.

Excecute locally on your computer using Docker

You can run this module directly on your computer, assuming that you have Docker installed, by following these steps:

$ docker pull deephdc/uc-emmaamblard-deep-oc-multi_plankton_separation
$ docker run -ti -p 5000:5000 deephdc/uc-emmaamblard-deep-oc-multi_plankton_separation

Execute on your computer using udocker

If you do not have Docker available or you do not want to install it, you can use udocker within a Python virtualenv:

$ virtualenv udocker
$ source udocker/bin/activate
(udocker) $ pip install udocker
(udocker) $ udocker pull deephdc/uc-emmaamblard-deep-oc-multi_plankton_separation
(udocker) $ udocker create deephdc/uc-emmaamblard-deep-oc-multi_plankton_separation
(udocker) $ udocker run -p 5000:5000  deephdc/uc-emmaamblard-deep-oc-multi_plankton_separation

In either case, once the module is running, point your browser to and you will see the API documentation, where you can test the module functionality, as well as perform other actions (such as training).

For more information, refer to the user documentation.


docker, api-v2,


License: MIT

Get the code

Github Docker Hub