Dataset Versions
Versions
v1
2024-09-19 2:40pm
Generated on Sep 19, 2024
462 Total Images
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Dataset Split
Train Set 92%
425Images
Valid Set 5%
25Images
Test Set 3%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.5% of pixels