Dataset Versions
Versions
v1
2024-03-10 4:24pm
Generated on Mar 10, 2024
713 Total Images
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Dataset Split
Train Set 88%
624Images
Valid Set 8%
59Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 1.92% of pixels