Dataset Versions
v3
2024-05-16 8:23am
Generated on May 16, 2024
686 Total Images
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Dataset Split
Train Set 87%
600Images
Valid Set 8%
58Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.49% of pixels