Dataset Versions

v33

2024-08-23 12:39pm

Generated on Aug 23, 2024

Dataset Split

Train Set 87%
4422Images
Valid Set 7%
351Images
Test Set 7%
335Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 7% of images
Hue: Between -7° and +7°
Saturation: Between -7% and +7%
Brightness: Between -7% and +7%
Exposure: Between -8% and +8%
Blur: Up to 0.5px
Noise: Up to 0.18% of pixels
Cutout: 6 boxes with 2% size each

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