Dataset Versions
v2
2023-10-26 1:13am
Generated on Oct 25, 2023
1948 Total Images
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Dataset Split
Train Set 92%
1800Images
Valid Set 8%
148Images
Test Set %
0Images
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, 5% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±12° Horizontal, ±12° Vertical
Grayscale: Apply to 10% of images
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -16% and +16%
Exposure: Between -16% and +16%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 5% size each