Dataset Versions
v1
2024-09-23 3:29am
Generated on Sep 23, 2024
30 Total Images
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Dataset Split
Train Set 90%
27Images
Valid Set 7%
2Images
Test Set 3%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -40% and +40%
Noise: Up to 2.52% of pixels
Cutout: 12 boxes with 6% size each