Dataset Versions
v7
2024-04-29 5:25pm
Generated on Apr 29, 2024
15360 Total Images
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Dataset Split
Train Set 88%
13440Images
Valid Set 9%
1408Images
Test Set 3%
512Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 8 rows x 8 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Noise: Up to 1% of pixels