Dataset Versions
v5
2024-02-21 12:23pm
Generated on Feb 21, 2024
30 Total Images
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Dataset Split
Train Set 67%
20Images
Valid Set 20%
6Images
Test Set 13%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels