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Instance Segmentation in QGIS

Introduction

Learning Objectives

Mask R-CNN Architecture

Creating Training Data

Sample Data

Instance-Level Labels

Tile Size, Stride, and Buffer Radius

Output Directory and Export

Training Mask R-CNN

Model Configuration

Training Hyperparameters

Starting Training

Running Inference

Input and Model Configuration

Instance-Level Output

Vectorization and Post-Processing

Key Takeaways

Exercises

Exercise 1: Field Boundary Delineation

Exercise 2: Instance vs. Semantic Comparison

Exercise 3: Confidence Score Analysis

Exercise 4: Per-Object Spatial Analysis

QGIS Plugins
Semantic Segmentation in QGIS