Dataset Versions
Versions
v1
2023-11-16 12:25pm
Generated on Nov 16, 2023
2575 Total Images
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Dataset Split
Train Set 87%
2253Images
Valid Set 8%
215Images
Test Set 4%
107Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -51° and +51°
Saturation: Between -45% and +45%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each