Dataset Versions
v4
2024-10-09 8:59pm
Generated on Oct 9, 2024
5316 Total Images
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Dataset Split
Train Set 92%
4908Images
Valid Set 6%
308Images
Test Set 2%
100Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
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°
Brightness: Between 0% and +20%
Blur: Up to 1.9px
Noise: Up to 0.1% of pixels