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AUGMENTATION

Instance Segmentation

AUGMENTATION Image Dataset

Versions
2024-06-25 7:49am
v1
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6 days ago
v1

2024-06-25 7:49am

Generated on Jun 25, 2024
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3350 Total Images

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Dataset Split

Train Set 97%
3234Images
Valid Set 3%
84Images
Test Set 1%
32Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels