Dataset Versions
v2
ver2
Generated on Jan 16, 2024
6976 Total Images
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Dataset Split
Train Set 92%
6408Images
Valid Set 6%
433Images
Test Set 2%
135Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 1.96% of pixels