Dataset Versions
Versions
v1
2024-11-01 5:52am
Generated on Nov 1, 2024
17089 Total Images
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Dataset Split
Train Set 88%
14955Images
Valid Set 8%
1423Images
Test Set 4%
711Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
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
Brightness: Between -15% and +15%