Dataset Versions
Versions
v1
2024-04-16 1:59am
Generated on Apr 16, 2024
610 Total Images
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Dataset Split
Train Set 88%
537Images
Valid Set 8%
49Images
Test Set 4%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Exposure: Between -9% and +9%