Dataset Versions
Versions
v11
2024-10-06 8:47am
Generated on Oct 6, 2024
19197 Total Images
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Dataset Split
Train Set 88%
16800Images
Valid Set 7%
1254Images
Test Set 6%
1143Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Brightness: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 0.45% of pixels