Dataset Versions

v1

2024-10-31 12:09pm

Generated on Oct 31, 2024

Dataset Split

Train Set 95%
42Images
Valid Set %
0Images
Test Set 5%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 47% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±8° Vertical
Brightness: Between -26% and +26%
Blur: Up to 2px
Noise: Up to 0.46% of pixels

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