Dataset Versions
v2
2023-10-01 2:04am
Generated on Oct 1, 2023
1876 Total Images
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Dataset Split
Train Set 95%
1791Images
Valid Set 3%
57Images
Test Set 1%
28Images
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, 73% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -70% and +70%
Brightness: Between -44% and +44%
Exposure: Between -46% and +46%
Blur: Up to 2.5px
Cutout: 14 boxes with 15% size each