Dataset Versions
v5
2024-12-18 1:55pm
Generated on Dec 18, 2024
3600 Total Images
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Dataset Split
Train Set 88%
3150Images
Valid Set 8%
300Images
Test Set 4%
150Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 384x384
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 20% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 1% of pixels