Dataset Versions
v2
2024-07-09 1:56am
Generated on Jul 9, 2024
442 Total Images
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Dataset Split
Train Set 90%
399Images
Valid Set 8%
35Images
Test Set 2%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -2° and +2°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images