Dataset Versions
v4
2024-11-19 8:36pm
Generated on Nov 19, 2024
1045 Total Images
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Dataset Split
Train Set 94%
980Images
Valid Set 4%
40Images
Test Set 2%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1536x1140
Augmentations
Outputs per training example: 7
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°
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.5% of pixels