Dataset Versions
v5
2024-08-20 2:08am
Generated on Aug 20, 2024
2880 Total Images
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Dataset Split
Train Set 88%
2520Images
Valid Set 8%
240Images
Test Set 4%
120Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -18% and +18%
Exposure: Between -12% and +12%
Blur: Up to 1.8px
Noise: Up to 1.45% of pixels