Picsellia
  • Picsellia
  • Getting started
    • Start using Picsellia
    • Create, annotate, review a Dataset
    • Create a new Dataset Version with merged labels
    • Train a custom Object Detection model
    • Train a custom Classification model
    • Deploy model in production (Tensorflow only)
    • Feedback loop - Send predictions from models to Datalake or Datasets
  • Data Management
    • Upload assets to your Lake
    • Edit Tags for Pictures
    • Create a Dataset
    • Add data to a Dataset
    • Create a new Dataset version
    • Configure your Labels
    • Import annotation from other Dataset version
  • Experiment Tracking
    • Initialize an experiment
    • Checkout an experiment
    • Log your results to Picsell.ia
    • Store your files to Picsell.ia
    • Evaluate your models
    • Retrieve and update your assets
    • Publish your model
    • Namespace
  • Hyperparameter tuning
    • Overview
    • Install Picsell CLI
    • Config
    • Launch your Hyperparameters tuning
  • Models
    • Model HUB
  • References
    • API Reference
    • Python SDK Reference
    • Python Training Reference
  • Organization
  • Website
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  • With the Platform
  • With the Python SDK

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  1. Data Management

Upload assets to your Lake

PreviousData ManagementNextEdit Tags for Pictures

Last updated 3 years ago

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With the Platform

Uploading assets to your Lake is really simple, once on your "Datalake" page

To upload data, just click on Upload Data on the top right of the page.

Then select the assets you want to upload, and add tags if you want, once you've typed a tag, do not forget to press ENTER to validate it.

Then click on upload 🚀 !

With the 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")

Then simply pass the absolute path of the assets to upload.

clt.datalake.picture.upload(filepath=filepath, tags=['AAA', 'BBB'])

You can find a complete reference to the SDK here.