Dataset Versions
v1
2023-11-21 10:49am
Generated on Nov 21, 2023
1081 Total Images
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Dataset Split
Train Set 92%
996Images
Valid Set 8%
85Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -31° and +31°
Saturation: Between -23% and +23%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 11 boxes with 8% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise