Dataset Versions

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Versions
2023-09-17 6:48pm
v2
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a year ago
2023-09-16 12:19am
v1
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a year ago
v1

2023-09-16 12:19am

Generated on Sep 16, 2023
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Dataset Split

Train Set 92%
11729Images
Valid Set 6%
747Images
Test Set 2%
275Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±4° Horizontal, ±4° Vertical
Brightness: Between -25% and +25%
Noise: Up to 1% of pixels
Mosaic: Applied

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