Dataset Versions
v2
2024-09-28 7:03am
Generated on Sep 28, 2024
309 Total Images
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Dataset Split
Train Set 87%
270Images
Valid Set 8%
26Images
Test Set 4%
13Images
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, 20% Maximum Zoom
Rotation: Between -45° and +45°
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.88% of pixels