Dataset Versions

v11

2024-09-03 2:03am

Generated on Sep 3, 2024

Dataset Split

Train Set 84%
624Images
Valid Set 10%
76Images
Test Set 5%
40Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-85% Horizontal Region, 15-85% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px

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