Dataset Versions
Versions
v1
2024-07-06 8:13pm
Generated on Jul 6, 2024
12636 Total Images
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Dataset Split
Train Set 88%
11076Images
Valid Set 8%
1036Images
Test Set 4%
524Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 3% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±12° Vertical
Brightness: Between -23% and +23%
Exposure: Between -14% and +14%
Blur: Up to 1.8px
Noise: Up to 0.97% of pixels