Dataset Versions
v5
2024-08-28 4:17pm
Generated on Aug 28, 2024
3177 Total Images
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Dataset Split
Train Set 97%
3084Images
Valid Set 3%
85Images
Test Set 0%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -33% and +33%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 1.09% of pixels