Dataset Versions
v3
2024-03-27 3:53pm
Generated on Mar 27, 2024
2224 Total Images
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Dataset Split
Train Set 88%
1947Images
Valid Set 8%
185Images
Test Set 4%
92Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -24° and +24°
Saturation: Between -30% and +30%
Brightness: Between -22% and +22%
Blur: Up to 3px
Noise: Up to 1.05% of pixels