Object Detection from Basics to Real-World Applications - GeoAI Made Simple Part 2
Learn GeoAI object detection from the basics to real-world GIS applications. Explore YOLO, RT-DETR, pretrained models, training workflows, and accuracy testing.
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GeoAI Made Simple: Where to Start, What to Learn, and How to Apply It
Learn GeoAI with 12 task categories, key AI models, and practical GIS examples. Discover where to start, what to learn, and how to apply it in real projects.
CSF - Ground Filtering Algorithm for LiDAR
Separate candidate ground from elevated LiDAR returns with cloth simulation. A practical non-neural baseline for terrain preparation.
Siamese KPConv - 3D Point Cloud Change Detection
Compare aligned point clouds from two dates to learn spatial change classes, with clear separation between survey differences and real change.
SuperCluster - DALES 3D Panoptic Segmentation
Explore semantic classes and separate object instances in 3D, extending point-wise labels toward individual survey objects.
Chronos-2 - Sensor Time-Series Forecasting
Forecast sensor histories with uncertainty intervals and optional covariates. Evaluate each deployment against local temporal baselines.
PatchCore - Visual Inspection Anomaly Detection
Learn normal visual appearance and flag unusual image regions for review. Build a task-specific memory bank before inspecting new assets.
MASt3R - Image Matching and 3D Reconstruction
Explore learned image matching and point-map reconstruction from overlapping photos, with explicit scale, georeferencing and licensing checks.