Project Dataset
Versions
v1
2024-08-14 10:13am
Generated on Aug 14, 2024
120 Total Images
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Dataset Split
Train Set 88%
105Images
Valid Set 7%
8Images
Test Set 6%
7Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 3% of images
Hue: Between -6° and +6°
Saturation: Between -5% and +5%
Brightness: Between -7% and +7%
Exposure: Between -7% and +7%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels
Cutout: 5 boxes with 3% size each