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v5

Generated on Oct 9, 2022
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Pascal VOC XML
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1910 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 72%
1382Images
Valid Set 17%
333Images
Test Set 10%
195Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Tile: 5 rows x 5 columns
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.25px

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