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User GuidesRecipesPython SDK ReferenceDiscussions
User GuidesPython SDK Referencepicsellia
Python SDK Reference
User GuidesRecipesPython SDK ReferenceDiscussions

Documentation

  • πŸ₯‘ Getting Started
  • πŸ’Ύ Data Management
    • Importing Data
    • Update Tags for Data
    • Create a Dataset
    • Import annotations
    • Create a new Dataset Version
    • Set up your labels for Annotation
    • Import annotation from other Dataset version
    • Annotate your Dataset
  • πŸ“ˆ Experiment Tracking
    • Create an Experiment
    • Get an experiment
    • Log results
    • Store Artifacts
    • Pull and Patch Logs & Artifacts
  • πŸ”¬ Hyperparameters Tuning
    • Scan Philosophy
    • Initialize a Scan
  • πŸ“˜ Model Management
    • Export an Experiment
  • πŸš€ Model Deployment
    • Serverless
  • πŸ‘€ Model Monitoring
    • Monitor Model Predictions
    • Unsupervised Metrics

In depth explanation

  • Custom Objects
    • Annotation formats
    • The labelmap Object
    • Train-Test Split Object
    • Namespace
  • Computed Metrics
    • AE Outlier
    • KS Drift ( Kolmogorov-Smirnov Test)
    • Tide Errors ( Object detection )

Tutorials

  • Package your models
    • What can you register ?
    • How to register a Model
    • Use your Model as base
    • Dockerize your code
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The labelmap Object

Suggest Edits

If you train a neural network within your experiment, you will need a label map to teach the network with your labels. To save it, we encourage you to log it that way :


data = {
    '0': 'car',
    '1': 'person',
    '2': 'bus'
}
experiment.log(name='labelmap', data=data, type='labelmap')

Updated 6 months ago


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