Dataset Versions
v1
2024-01-13 11:26pm
Generated on Jan 13, 2024
127 Total Images
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Dataset Split
Train Set 87%
111Images
Valid Set 9%
11Images
Test Set 4%
5Images
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, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -15° and +15°
Saturation: Between -35% and +35%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Mosaic: Applied