Dataset Versions
v1
2023-11-16 9:48pm
Generated on Nov 16, 2023
7293 Total Images
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Dataset Split
Train Set 70%
5082Images
Valid Set 26%
1861Images
Test Set 5%
350Images
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%