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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  • Tutorials
  • In-depth
  • References

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Getting started

Here are a list of tutorials covering a range of use-cases you might want to work on without reading all of the documentation

PreviousPicselliaNextStart using Picsellia

Last updated 3 years ago

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Tutorials

  1. : Covers all the main features of the platform

  2. : Get your image Dataset ready in no time

  3. : Learn how to manipulate your Datasets easily from our UI

  4. : Learn how to use our wrappers around the most popular frameworks

  5. : Learn how to deploy your model once your training is over

  6. : Send your model's predictions back to your Datalake or Datasets

In-depth

For more in-depth explanations on the different topics, you should check the corresponding part of the documentation :

References

For strict details on how to use our APIs or the Python SDK, please check the reference pages :

Start using Picsellia
Create, annotate, review a Dataset
Create a new Dataset Version
Train a custom Object Detector
Deploy model in production
Feedback Loop
Data Management
Experiment Tracking
Hyperparameter tuning
Models
References