TarimTek Dataset

v8

2024-05-25 5:13pm

Generated on May 25, 2024

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Dataset Split

Train Set 85%
2582Images
Valid Set 10%
302Images
Test Set 5%
145Images

Preprocessing

Auto-Orient: Applied
Static Crop: 21-68% Horizontal Region, 35-71% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Hue: Between -7° and +7°
Brightness: Between -24% and +24%
Blur: Up to 1.2px
Noise: Up to 1.85% of pixels

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