Dataset Versions
v7
2023-09-18 4:46am
Generated on Sep 17, 2023
63 Total Images
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Dataset Split
Train Set 81%
51Images
Valid Set 11%
7Images
Test Set 8%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 45% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±30° Horizontal, ±30° Vertical
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.25px
Noise: Up to 10% of pixels
Cutout: 5 boxes with 5% size each
Mosaic: Applied