Dataset Versions
Versions
v1
2024-09-16 2:34pm
Generated on Sep 16, 2024
339 Total Images
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Dataset Split
Train Set 87%
294Images
Valid Set 7%
24Images
Test Set 6%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±15° Vertical
Hue: Between -30° and +30°
Saturation: Between -75% and +75%
Brightness: Between -40% and +40%
Exposure: Between -15% and +15%