Dataset Versions
v5
2024-02-11 6:26pm
Generated on Feb 11, 2024
11745 Total Images
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Dataset Split
Train Set 80%
9405Images
Valid Set 17%
1946Images
Test Set 3%
394Images
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, 34% Maximum Zoom
Rotation: Between -35° and +35°
Shear: ±10° Horizontal, ±24° Vertical
Grayscale: Apply to 10% of images
Hue: Between -14° and +14°
Saturation: Between -47% and +47%
Brightness: Between -33% and +33%
Exposure: Between -3% and +3%
Cutout: 2 boxes with 10% size each