Dataset Versions
Versions
v1
2024-12-10 5:25pm
Generated on Dec 11, 2024
429 Total Images
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Dataset Split
Train Set 87%
375Images
Valid Set 8%
36Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +0%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 0.1% of pixels