Dataset Versions

v2

2023-10-15 5:38pm

Generated on Oct 15, 2023

Dataset Split

Train Set 88%
552Images
Valid Set 8%
51Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x500

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -22° and +22°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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