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2024-05-03 10:28pm
v9
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8 months ago
2024-05-03 10:17pm
v8
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8 months ago
2024-05-01 3:28pm
v7
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8 months ago
2024-05-01 3:07pm
v6
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8 months ago
2024-04-09 4:16pm
v5
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9 months ago
2024-04-08 2:51pm
v4
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9 months ago
2024-04-08 1:19pm
v3
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9 months ago
2024-04-06 6:18pm
v2
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9 months ago
2024-04-06 6:13pm
v1
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9 months ago
v1

2024-04-06 6:13pm

Generated on Apr 6, 2024
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Dataset Split

Train Set 88%
2727Images
Valid Set 8%
261Images
Test Set 4%
126Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -25° and +25°
Brightness: Between -38% and +38%
Blur: Up to 3px
Noise: Up to 6.04% of pixels
Cutout: 11 boxes with 10% size each
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±13° Horizontal, ±13° Vertical

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