Dataset Versions

v2

2024-04-27 4:50pm

Generated on Apr 27, 2024

Dataset Split

Train Set 87%
25548Images
Valid Set 8%
2440Images
Test Set 4%
1212Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -9° and +9°
Saturation: Between -15% and +15%
Brightness: Between -12% and +12%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.5% of pixels

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