Dataset Versions
v3
2024-12-05 11:07am
Generated on Dec 5, 2024
747 Total Images
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Dataset Split
Train Set 88%
654Images
Valid Set 7%
53Images
Test Set 5%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 0.1% of pixels