Dataset Versions

v4

2023-05-23 10:23am

Generated on May 23, 2023

Dataset Split

Train Set 87%
81Images
Valid Set 10%
9Images
Test Set 3%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels

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