Dataset Versions
v5
2024-05-25 12:42pm
Generated on May 25, 2024
1463 Total Images
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Dataset Split
Train Set 82%
1197Images
Valid Set 9%
133Images
Test Set 9%
133Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Grayscale: Apply to 20% of images
Noise: Up to 1.5% of pixels
Cutout: 3 boxes with 10% size each