Dataset Versions
Versions
v1
2024-01-14 11:30am
Generated on Jan 14, 2024
275 Total Images
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Dataset Split
Train Set 94%
259Images
Valid Set 4%
11Images
Test Set 2%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -45° and +45°
Saturation: Between -45% and +45%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 3px
Noise: Up to 2% of pixels
Mosaic: Applied