Dataset Versions
v2
2024-10-12 6:49am
Generated on Oct 12, 2024
1120 Total Images
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Dataset Split
Train Set 96%
1080Images
Valid Set 2%
20Images
Test Set 2%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
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
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels