Dataset Versions
Versions
v1
2024-07-23 6:44pm
Generated on Jul 23, 2024
13597 Total Images
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Dataset Split
Train Set 79%
10797Images
Valid Set 10%
1400Images
Test Set 10%
1400Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x360
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±12° Vertical
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.4px
Noise: Up to 0.1% of pixels