Dataset Versions
Versions
v1
2024-10-09 4:41pm
Generated on Oct 9, 2024
244 Total Images
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Dataset Split
Train Set 87%
213Images
Valid Set 9%
21Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Static Crop: 10-79% Horizontal Region, 18-86% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1.92% of pixels