Dataset Versions

v11

with_facade_800

Generated on Aug 21, 2024

Dataset Split

Train Set 93%
705Images
Valid Set 7%
56Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2px
Noise: Up to 1.25% of pixels
Bounding Box: Brightness: Between -10% and +10%