Dataset Versions

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Versions
v6 5x A NR
v6
·
a year ago
v5 5x F NR
v5
·
a year ago
v4 5x F NR
v4
·
a year ago
v3 3x A
v3
·
a year ago
v2 5x F
v2
·
a year ago
v1 5x F
v1
·
a year ago
v1

v1 5x F

Generated on Aug 26, 2023
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141 Total Images

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Dataset Split

Train Set 92%
130Images
Valid Set 5%
7Images
Test Set 3%
4Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 1% of pixels

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