Dataset Versions
v1
2024-12-27 10:01am
Generated on Dec 27, 2024
976 Total Images
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Dataset Split
Train Set 82%
798Images
Valid Set 9%
89Images
Test Set 9%
89Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -20° and +20°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 3px
Noise: Up to 1.52% of pixels
Cutout: 10 boxes with 10% size each