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2024-10-10 7:41am
v6
·
4 months ago
2024-10-09 4:11pm
v2
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4 months ago
2024-10-09 9:17am
v1
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4 months ago
v6

2024-10-10 7:41am

Generated on Oct 10, 2024
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724 Total Images

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Dataset Split

Train Set 87%
633Images
Valid Set 8%
61Images
Test Set 4%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.9px
Noise: Up to 0.61% of pixels

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