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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On this page
  • 1. The Datalake
  • 2. Datasets and version
  • 3. Pictures

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Data Management

One of the main feature of Picsellia is Data Management, from storage to versioning through annotation, we will cover everything in this section

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Last updated 3 years ago

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To help you store, organize, clean, share and use your data we have developed the following parts :

1. The Datalake

The Datalake is the place that will store all your assets, it is linked to your Organization so every user that belongs to your team will have access to it and work on projects with the data in it.

In the Datalake you can perform actions on the image-level such as :

2. Datasets and version

The second main object that you can find are the Datasets and its versions.

A Dataset is composed of several version, and each version is composed of multiple assets and the corresponding labels and annotations.

Here are several actions that you can perform on your datasets and their versions :

3. Pictures

As for today, you can only manage Images with our Datalake and Datasets.

When you store an image on Picsellia, a physical copy is made to our internal storage, but the advantage is that when you use this image in different Datasets, only references to this Image are created which lighten and facilitate storage and management of your files.

In order to navigate easily within your Datalake to find some assets, you can add some additional information to your Picture such as Tags :

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
Create, annotate, review a Dataset
Import annotation from other Dataset version
Edit Tags for Pictures