Dataset Versions
v1
2024-09-08 2:28am
Generated on Sep 8, 2024
1426 Total Images
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Dataset Split
Train Set 88%
1248Images
Valid Set 8%
118Images
Test Set 4%
60Images
Preprocessing
Auto-Orient: Applied
Static Crop: 19-80% Horizontal Region, 19-80% Vertical Region
Resize: Stretch to 640x320
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -11° and +11°
Shear: ±12° Horizontal, ±6° Vertical
Grayscale: Apply to 3% of images
Hue: Between -7° and +7°
Saturation: Between -6% and +6%
Brightness: Between -3% and +3%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 0.18% of pixels