Dataset Versions
v4
2023-06-22 9:59am
Generated on Jun 22, 2023
5178 Total Images
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Dataset Split
Train Set 87%
4527Images
Valid Set 4%
227Images
Test Set 8%
424Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Shear: ±19° Horizontal, ±35° Vertical
Grayscale: Apply to 100% of images
Hue: Between -116° and +116°
Blur: Up to 1.25px
Noise: Up to 6% of pixels