Dataset Versions
v3
2024-08-22 1:47pm
Generated on Aug 22, 2024
179 Total Images
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Dataset Split
Train Set 83%
148Images
Valid Set 12%
21Images
Test Set 6%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 1% of pixels