Dataset Versions

Versions
2023-11-22 9:29am
v1
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a year ago
v1

2023-11-22 9:29am

Generated on Nov 22, 2023
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5486 Total Images

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Dataset Split

Train Set 92%
5051Images
Valid Set 5%
251Images
Test Set 3%
184Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1000x1000
Modify Classes: 5 remapped, 9 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 8 boxes with 10% size each

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