Train4 Dataset
v4
2024-09-05 1:05am
Generated on Sep 5, 2024
428 Total Images
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Dataset Split
Train Set 88%
375Images
Valid Set 8%
35Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Static Crop: 13-75% Horizontal Region, 25-83% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Noise: Up to 0.1% of pixels