Dataset Versions
Versions
v1
2024-09-08 9:02am
Generated on Sep 8, 2024
1432 Total Images
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Dataset Split
Train Set 87%
1251Images
Valid Set 8%
120Images
Test Set 4%
61Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 8% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -12° and +12°
Shear: ±7° Horizontal, ±7° Vertical
Saturation: Between -7% and +7%
Brightness: Between -7% and +7%
Exposure: Between -7% and +7%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels