DatamintAPI

For Developers

  • Quick Start
  • Installation
  • Scaffold your first project
  • Logging to a file
  • Your first API call
  • Command-line tools
  • Client Python API
  • PyTorch & Lightning Integration
  • Training your Model
  • Evaluating your Model
  • Bringing an External Model into Datamint
  • Tutorials
    • Getting Started
    • Annotations
    • Datasets
    • Experiment Tracking
    • Deployment
    • End-to-End Examples
      • Slice-based (2D)
      • Full 3D
      • SAM (promptable segmentation)
    • Evaluating
  • Datamint vs Raw PyTorch
  • Agent Skills
  • SSL Certificate Troubleshooting

For Non-Developers

  • Upload Images & Segmentations (No Coding Required)

Python Modules Reference

  • Client API
  • Base API Classes
  • Dataset Classes
  • datamint.importers
  • Entities
  • Lightning API
  • MLflow Integration
  • datamint.exceptions
DatamintAPI
  • Tutorials
  • End-to-End Examples
  • Slice-based (2D)
  • View page source

Slice-based (2D)

  • Fracture Classification with Datamint and FracAtlas Dataset
  • 2D Segmentation with the Datamint Trainer API
  • Object Detection with YOLOXTrainer
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