INTEIA

Corine Land Cover Segmentation

Semantic Segmentation

Corine Land Cover Segmentation Image Dataset

v3

Model_v2

Generated on May 22, 2024

Dataset Split

Train Set 88%
11400Images
Valid Set 8%
1100Images
Test Set 4%
500Images

Preprocessing

Auto-Orient: Applied
Tile: 10 rows x 10 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°