Dataset Versions
v1
2023-09-30 1:25am
Generated on Sep 30, 2023
26147 Total Images
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Dataset Split
Train Set 92%
24136Images
Valid Set 4%
1005Images
Test Set 4%
1006Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 8
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Blur: Up to 1px
Noise: Up to 10% of pixels
Cutout: 2 boxes with 15% size each