Dataset Versions
Versions
v1
2024-09-23 4:25pm
Generated on Sep 23, 2024
550 Total Images
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Dataset Split
Train Set 88%
483Images
Valid Set 8%
45Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1000x600
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
Saturation: Between -25% and +25%