Dataset Versions
v2
2024-08-05 10:59am
Generated on Aug 5, 2024
64 Total Images
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Dataset Split
Train Set 75%
48Images
Valid Set 19%
12Images
Test Set 6%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels