Client Python API

Intermediate

This chapter describes how to use the Api class in Python, to interact with the Datamint API. Before continuing, you may want to check the setup-api-key section to easily set up your API key, if you haven’t done so yet.

• Getting Started with the API Client
• Working with Resources
  • Upload resource files
  • List and filter resources
  • Upload with options
  • Download resources
  • Publishing resources
  • Deleting resources
  • Ranking unlabeled resources
• Working with Annotations
  • Inspect annotations from a resource
  • Upload segmentations
  • Multi-class segmentations
  • Volume segmentations
  • Upload geometry annotations (bounding boxes, lines)
  • Upload classification annotations
  • Inspect annotation entities
  • Measuring inter-annotator agreement
• Working with Projects
  • Create and manage projects
  • Project helper methods
  • Project-scoped dataset splits
• Working with Channels
  • Organize resources with channels
• Working with Models
  • Register and list models
  • Inspect versions and metrics
  • Deploy a registered model
• Working with Users