Dataset Versions

v7

2024-07-08 5:11pm

Generated on Jul 8, 2024

Dataset Split

Train Set 97%
1568Images
Valid Set 2%
39Images
Test Set 1%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800

Augmentations

Outputs per training example: 7
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 76% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±19° Horizontal, ±18° Vertical
Grayscale: Apply to 15% of images
Hue: Between -36° and +36°
Saturation: Between -34% and +34%
Brightness: Between -16% and +16%
Exposure: Between -12% and +12%
Blur: Up to 0.8px
Noise: Up to 0.1% of pixels

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