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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  1. Data Management

Configure your Labels

PreviousCreate a new Dataset versionNextImport annotation from other Dataset version

Last updated 3 years ago

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To start annotating a Dataset you need to configure your labels, to do so let's go to your "All Datasets"

And click on the Dataset that you want to annotate, you will arrive in your dataset's version list

Then choose the appropriate version of the dataset you want and you will arrive on the dataset overview page.

Click on the 'Settings' button to access the settings page of your Dataset.

If another version of your dataset exists, you can choose to import classes from an older version or create some brand new classes to annotate

Now click on create labels and you are good to go.