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2024-12-05 4:01am
v9
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14 days ago
2024-12-04 6:39pm
v8
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14 days ago
2024-12-04 3:47am
v7
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15 days ago
2024-12-03 1:18pm
v6
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15 days ago
2024-12-03 12:42pm
v5
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15 days ago
2024-12-02 3:45pm
v4
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16 days ago
2024-12-02 2:12am
v3
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17 days ago
2024-11-26 3:04pm
v2
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22 days ago
2024-11-26 12:54pm
v1
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22 days ago
v6

2024-12-03 1:18pm

Generated on Dec 3, 2024
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2877 Total Images

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Dataset Split

Train Set 96%
2755Images
Valid Set 2%
64Images
Test Set 2%
58Images

Preprocessing

Auto-Orient: Applied
Static Crop: 38-78% Horizontal Region, 37-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 5
Flip: Horizontal
Grayscale: Apply to 10% of images
Hue: Between -8° and +8°
Saturation: Between -22% and +22%
Exposure: Between -10% and +10%
Noise: Up to 1.34% of pixels

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