Dataset Versions
Versions
v1
2023-07-24 5:17pm
Generated on Jul 24, 2023
10046 Total Images
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Dataset Split
Train Set 87%
8790Images
Valid Set 8%
837Images
Test Set 4%
419Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each