Aquarium
  • Getting Started
    • Intro to Aquarium
    • Key Concepts
    • Account Setup and Team Onboarding
    • Quickstart Guides
      • 2D Classification
      • 2D Object Detection
      • 2D Semantic Segmentation
    • Announcements
    • Python Client API Docs
  • Data Privacy
    • Data Sharing Methodologies
      • Generate Local Credentials from AWS
      • Generating Access-Controlled URLs
      • Granting Aquarium Read Access to an AWS S3 Bucket
    • Anonymous Mode
  • Integrating With Aquarium
    • Creating Projects in Aquarium
    • Uploading Data
      • Labeled Datasets
      • Model Inferences
      • Unlabeled Datasets
    • Exporting Data
      • Batch Exports
      • Webhooks
    • Updating Datasets
  • Working In Aquarium
    • Managing Projects
    • Viewing Your Dataset
    • Analyzing Your Metadata
    • Querying Your Dataset
    • Organizing Your Data
    • Inspecting Model Performance
    • Analyzing Model Inferences
    • Finding Similar Elements Within a Dataset
    • Comparing Models
  • Common End-To-End Workflows
    • Assess Data Quality
    • Collect Relevant Data
    • Evaluate Model Performance
  • Python SDK
    • Python Client API Docs
    • Working With the SDK
    • Code Snippets and Examples
      • Segments
      • Confusion Matrix Scripting
      • Collection Campaign Scripting
  • Advanced Concepts
    • Adding Custom Embeddings
    • Dataset Checkpoints
    • Collection Campaign Classifier
    • Embeddings
    • URL formatting
    • Metrics Methodology
    • Complex Label Class Maps
    • Webhooks
      • Integrating with Labeling Using Webhooks
    • Custom Metrics
      • Stratified Metrics
    • Troubleshooting
      • Troubleshooting Common Web Issues
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