Dataset Versions
Versions
v1
2023-05-17 7:07am
Generated on May 17, 2023
984 Total Images
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Dataset Split
Train Set 88%
861Images
Valid Set 8%
81Images
Test Set 4%
42Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%