Pass Dataset
v1
2024-02-06 11:37am
Generated on Feb 6, 2024
685 Total Images
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Dataset Split
Train Set 88%
600Images
Valid Set 8%
58Images
Test Set 4%
27Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±24° Horizontal, ±29° Vertical
Grayscale: Apply to 15% of images
Hue: Between -16° and +16°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels