Dataset Versions
v1
2024-06-13 3:00pm
Generated on Jun 13, 2024
803 Total Images
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Dataset Split
Train Set 87%
702Images
Valid Set 6%
51Images
Test Set 6%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1.6% of pixels
Cutout: 5 boxes with 10% size each