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

Introduction

  • 🚀 Welcome to Picsellia's documentation
  • 💡 Why Picsellia ?
  • 💬 Glossary

DOCUMENTATION

  • 📑 General Information & Administration
    • Access Picsellia
    • Homepage
    • Picsellia platform structure
    • Setup your profile
    • Picsellia Organizations
    • Users Management System
    • Python SDK installation
    • Storages and Datalakes
    • Compute Connectors
    • Track operations with Jobs
    • Track your plan and usage
    • Customize your Keyboard Shortcuts
  • 📚 Data Engine
    • Datalake
      • Philosophy and infrastructure
      • Overview
      • Upload and Import Data
      • Tagging system
      • Metadata and Custom Metadata
      • Projections
      • Tiling
      • Query Language
      • Explore your Data with Embeddings
      • Charts
      • Processings
      • Dataset creation
      • Summary & Workflow
    • Dataset
      • Dataset and versioning system
      • DatasetVersion overview
      • Configure your Labelmap
      • Attributes
      • Shapes view
      • Analytics and Charts
      • Tagging system
      • Query language
      • Explore your Assets and Shapes with Embeddings
      • Annotation import and export
      • Processings
      • Dataset Version Management
      • Custom Shapes import from another version
    • Annotation Tool & Campaign
      • Annotation tool
      • Shape creation
      • Settings & Shortcuts
      • Annotation Campaign
  • 🏭 VisionAI Factory
    • Project
      • Creation & collaboration
    • Experiment
      • Creation
      • Experiment overview
      • Launch training
      • Experiment Tracking
      • Evaluation
      • Comparison
      • Export as a model
  • ⚙️ Reliability Engine
    • Registry
      • Model versionning system
      • ModelVersion
      • Create a ModelVersion manually
      • Processings
      • Deploy a ModelVersion
    • Deployments
      • List of deployments
      • Overview
      • Dashboard metrics
      • Configure and use a Pipeline
      • Setup Alerts
      • Inferences
      • Predictions overview
      • Shadow deployment
    • Prediction review tool
      • Prediction Review Campaign
      • Overview

Tutorials

  • ⏭️ Quick Start Guide
    • 1. Set up an account, an Organization and the Python SDK
    • 2. Access to the documentation
    • 3. What do you want to achieve with Picsellia ?
    • 4. Import your Data in the Datalake
    • 5. Create your first Dataset
    • 6. Import your Annotations
    • 7. Inherit a new DatasetVersion
    • 8. Create your Project and launch Experiments
    • 9. Deploy a ModelVersion and set the Data Pipeline up
    • 10. Make predictions
    • 11. Conclusion
  • 🏁 Community Edition - Start using Picsellia !
    • 1. Join Picsellia Community
    • 2. Dashboard overview
    • 3. Import your Data in the Datalake
    • 4. Create your first Dataset
    • 5. Create Annotations
    • 6. Inherit a new DatasetVersion
    • 7. Conclusion
  • 📦 Migrate your models to Picsellia
    • 1. Overview
    • 2. Create your first Model
    • 3. Make your ModelVersion Deployable
    • 4. Make your ModelVersion Trainable
    • 5. What's next?
  • 🧩 Integrate Picsellia into your training scripts
    • 1. Overview
    • 2. Initializing Picsellia connection & retrieve the Experiment
    • 3. Retrieve Data, files and parameters from Picsellia
    • 4. Track your trainings with Callbacks
    • 5. Test your ModelVersion with Picsellia Evaluation Interface
    • 6. Store new files
    • Final script
  • 🔎 Evaluate your Model Performances
    • 1. What's an Evaluation on Picsellia
    • 2. Evaluate a Classification Model
    • 3. Evaluate a Detection Model
    • 4. Evaluate a Segmentation Model
  • ↩ Configure Picsellia's Webhooks
    • What is a webhook?
    • Events
    • How to configure Webhooks on Picsellia
  • 📈 Monitoring an External Model
    • 1. Pre-requisite
    • 2. Classification - Monitor Model Predictions
    • 3. Object Detection - Monitor Model Predictions
    • 4. Segmentation - Monitor Model Predictions
  • 🤖 Create your own Processing
    • 1. Create a Private Processing
    • 2. Write the Processing script
    • 3. Configuration reference
  • 🐠 Configure Picsellia webhooks
    • 1. What's a Webhook?
    • 2. Events
    • 3. How to configure Webhooks on Picsellia
  • ☁️ Connect Picsellia to your own Cloud storage
    • 1. Configure your bucket
    • 1.1. AWS - Create a delegated Access for Picsellia
    • 1.2. GCS - Create access credentials
    • 1.3. Azure - Register a client application
    • 2. Datalake mechanism
    • 3. Configure your new Datalake
  • 🔄 Use MLFlow with Picsellia

In depth explanation

  • Custom Objects
    • Namespace
  • Computed Metrics
    • AE Outlier
    • KS Drift (Kolmogorov-Smirnov Test)
    • Tide Errors (Object detection)
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Registry

This section covers the Model Registry, starting with the Model versioning system.

Updated about 11 hours ago


⚙️ Reliability Engine
Model versionning system
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