Dataset Versions
v4
2024-06-06 12:26am
Generated on Jun 5, 2024
831 Total Images
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Dataset Split
Train Set 88%
729Images
Valid Set 9%
74Images
Test Set 3%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels