Dataset Versions

v8

2024-06-04 3:06pm

Generated on Jun 4, 2024

Dataset Split

Train Set 86%
438Images
Valid Set 10%
51Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Cutout: 16 boxes with 17% size each

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