Dataset Versions

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2023-09-23 1:50pm
v2
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a year ago
2023-09-18 11:38am
v1
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a year ago
v2

2023-09-23 1:50pm

Generated on Sep 23, 2023
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Dataset Split

Train Set 87%
20763Images
Valid Set 8%
1978Images
Test Set 4%
990Images

Preprocessing

Auto-Orient: Applied
Static Crop: 32-75% Horizontal Region, 56-75% Vertical Region
Resize: Fill (with center crop) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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