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Augmented V3
v6
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a year ago
2023-11-29 4:06pm
v5
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a year ago
2023-11-22 11:14pm
v4
·
a year ago
RAW VERSION 2
v3
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a year ago
Augmented Version
v2
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a year ago
RAW VERSION
v1
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a year ago
v2

Augmented Version

Generated on Nov 8, 2023
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3402 Total Images

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Dataset Split

Train Set 97%
3285Images
Valid Set 2%
60Images
Test Set 2%
57Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Noise: Up to 1% of pixels

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