Dataset Versions
Versions
v4
2023-09-24 12:21am
Generated on Sep 23, 2023
24014 Total Images
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Dataset Split
Train Set 88%
21021Images
Valid Set 8%
1992Images
Test Set 4%
1001Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -28° and +28°
Saturation: Between -25% and +25%
Brightness: Between -35% and +35%
Noise: Up to 5% of pixels
Cutout: 7 boxes with 9% size each