Dataset Versions
Versions
v1
2022-12-27 9:10pm
Generated on Dec 28, 2022
10324 Total Images
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Dataset Split
Train Set 87%
9030Images
Valid Set 8%
862Images
Test Set 4%
432Images
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, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each