Dataset Versions

v6

2023-12-06 9:52am

Generated on Dec 6, 2023

Dataset Split

Train Set 100%
54Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -2° and +2°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -9° and +9°
Saturation: Between -4% and +4%
Brightness: Between -3% and +3%
Exposure: Between -4% and +4%
Blur: Up to 0.5px
Noise: Up to 1% of pixels

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