Dataset Versions
v2
2024-09-15 2:45pm
Generated on Sep 15, 2024
456 Total Images
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Dataset Split
Train Set 88%
399Images
Valid Set 8%
38Images
Test Set 4%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Noise: Up to 0.3% of pixels