Dataset Versions
v1
2024-08-08 11:05am
Generated on Aug 8, 2024
508 Total Images
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Dataset Split
Train Set 93%
474Images
Valid Set 6%
28Images
Test Set 1%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -33% and +33%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 1.09% of pixels