Dataset Versions

v24

2024-06-01 3:52pm

Generated on Jun 1, 2024

Dataset Split

Train Set 88%
879Images
Valid Set 10%
95Images
Test Set 2%
20Images

Preprocessing

Resize: Fill (with center crop) in 900x900

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -5° and +5°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px