Create a Dataset

With the Platform

Creating a Dataset is really simple, once on your "Datalake" page

Search for pictures

To perform operations, your need to select assets on the table, the right checkbox select all the visible assets, the left one select all filtered assets.

You can search pictures on your lake with our Data Query Language, basically you can search pictures in your lake with :

  • Tags

  • Width

  • Height

  • Source

  • Filename

  • Annotations

  • Dataset

For example, let's seach for pictures that are tagged penfun with a Picture width > 400 px and that have at least one annotation.

Once you have filtered your pictures, you can either select all filtered pictures or a subset.

You can now click on create dataset !

Then enter a Name and description for your Dataset, please note that description is optional :)

With Python SDK

pip install picsellia

First make sure that you have Picsellia Python package installed

then you will need to initialize the Client with your API Token, available in you profile page.

from picsellia.client import Client
clt = Client(api_token="your token")

you can now search for some assets on your lake with the datalake.fetch() method:

pictures = clt.datalake.picture.fetch(quantity=1, tags=['tag1'])

You can use Client.datalake.pictures.status() to vizualize the fetched assets

then you can create your dataset

clt.datalake.dataset.create(name='dataset2',
description='this is a test',
pictures=pictures)

You can find a complete reference to the SDK here.