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2024-08-28 10:22am
v10
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3 months ago
2024-08-28 9:41am
v9
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3 months ago
2024-08-28 4:30am
v8
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3 months ago
2024-08-27 11:35am
v7
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3 months ago
2024-08-26 4:55am
v6
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3 months ago
2024-08-23 7:15am
v5
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3 months ago
2024-08-23 6:56am
v4
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3 months ago
2024-08-22 3:43am
v3
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3 months ago
2024-08-21 4:34am
v2
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3 months ago
2024-08-20 9:32am
v1
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3 months ago
v6

2024-08-26 4:55am

Generated on Aug 26, 2024
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259 Total Images

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Dataset Split

Train Set 88%
228Images
Valid Set 8%
22Images
Test Set 3%
9Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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