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2024-12-10 6:32pm
v9
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22 days ago
2024-12-10 4:41pm
v8
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22 days ago
2024-12-10 3:14pm
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2024-12-10 3:11pm
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22 days ago
v8

2024-12-10 4:41pm

Generated on Dec 10, 2024
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Dataset Split

Train Set 88%
873Images
Valid Set 8%
84Images
Test Set 4%
39Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 600x800
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 1 rows x 1 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Cutout: 4 boxes with 10% size each

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