Dataset Versions
v1
Generated_v1
Generated on May 31, 2023
6053 Total Images
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Dataset Split
Train Set 87%
5289Images
Valid Set 8%
500Images
Test Set 4%
264Images
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: ±15° Horizontal, ±15° Vertical
Hue: Between -180° and +180°
Saturation: Between -99% and +99%
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 2.75px
Noise: Up to 15% of pixels