Dataset Versions
Versions
v2
2024-03-06 2:32am
Generated on Mar 5, 2024
55 Total Images
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Dataset Split
Train Set 55%
30Images
Valid Set 24%
13Images
Test Set 22%
12Images
Preprocessing
Auto-Orient: Applied
Static Crop: 36-75% Horizontal Region, 39-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -32% and +32%
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.77% of pixels