Dataset Versions
v2
2024-02-09 9:07pm
Generated on Feb 9, 2024
233 Total Images
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Dataset Split
Train Set 88%
204Images
Valid Set 8%
19Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% 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°
Grayscale: Apply to 9% of images
Brightness: Between -15% and +15%
Noise: Up to 0.61% of pixels
Cutout: 4 boxes with 5% size each