Dataset Versions

v4

2023-07-14 9:39pm

Generated on Jul 14, 2023

Dataset Split

Train Set 87%
720Images
Valid Set 8%
64Images
Test Set 6%
48Images

Preprocessing

Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%