Dataset Versions

v10

2022-11-18 5:59pm

Generated on Nov 18, 2022

Dataset Split

Train Set 94%
1344Images
Valid Set 4%
50Images
Test Set 2%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: Brightness: Between -10% and +10%

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