Dataset Versions

v2

2023-07-18 10:53am

Generated on Jul 18, 2023

Dataset Split

Train Set 78%
696Images
Valid Set 11%
100Images
Test Set 11%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 704x704

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Hue: Between -174° and +174°
Brightness: Between -17% and +17%
Exposure: Between -13% and +13%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Cutout: 23 boxes with 5% size each
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -16% and +16%
Bounding Box: Exposure: Between -11% and +11%

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